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Volume 49,Issue 5,2022 Table of Contents
1 Research on Interval Type-2 Fuzzy Control for Magnetic Levitation System of Linear Synchronous Motor
2022, 49(5):1-7.
DOI: 10.12177/emca.2022.005
Abstract:
Aiming at the controllable excitation linear synchronous motor (CELSM) magnetic levitation system, an interval type-2 fuzzy control strategy is proposed to improve the system performance. Based on the structural characteristics and control principle of the CELSM magnetic levitation system, the mathematical model is established. The interval type-2 fuzzy controller is designed to realize the control of the CELSM magnetic levitation system. The error of the air gap height of the magnetic levitation platform and its change rate are used as the input of the controller. The membership function uses a triangular function, and nine fuzzy control rules are established for fuzzy reasoning. Finally, the Nie-Tan (NT) order reduction algorithm is used to obtain the system output. According to the control system structure, the simulation model is built in MATLAB software. Simulation results show that the CELSM magnetic levitation system with interval type-2 fuzzy control has the advantages of good starting performance and strong anti-interference ability.
Aiming at the controllable excitation linear synchronous motor (CELSM) magnetic levitation system, an interval type-2 fuzzy control strategy is proposed to improve the system performance. Based on the structural characteristics and control principle of the CELSM magnetic levitation system, the mathematical model is established. The interval type-2 fuzzy controller is designed to realize the control of the CELSM magnetic levitation system. The error of the air gap height of the magnetic levitation platform and its change rate are used as the input of the controller. The membership function uses a triangular function, and nine fuzzy control rules are established for fuzzy reasoning. Finally, the Nie-Tan (NT) order reduction algorithm is used to obtain the system output. According to the control system structure, the simulation model is built in MATLAB software. Simulation results show that the CELSM magnetic levitation system with interval type-2 fuzzy control has the advantages of good starting performance and strong anti-interference ability.
2022, 49(5):8-13.
DOI: 10.12177/emca.2022.013
Abstract:
Aiming at the problems of large calculation of model predictive torque control (MPTC) for surface-mounted permanent magnet synchronous motor (PMSM), the convolutional neural network (CNN) is used to replace the MPTC for selecting voltage vector among candidate voltage vectors. Simulation results show that the steady-state control performances of the MPTC based on CNN are basically equivalent to those of the conventional MPTC. But the imbalance between the training data at steady and dynamic states deteriorates the control of the MPTC based on CNN at dynamic state and results in large stator flux ripple. Therefore, the adaptive switching strategy between the MPTC based on CNN and the direct torque control (DTC) is proposed, with the state of the system as the switching criterion. Simulation results show that the adaptive switching strategy can achieve high steady-state performance and suppress stator flux ripple at the dynamic state.
Aiming at the problems of large calculation of model predictive torque control (MPTC) for surface-mounted permanent magnet synchronous motor (PMSM), the convolutional neural network (CNN) is used to replace the MPTC for selecting voltage vector among candidate voltage vectors. Simulation results show that the steady-state control performances of the MPTC based on CNN are basically equivalent to those of the conventional MPTC. But the imbalance between the training data at steady and dynamic states deteriorates the control of the MPTC based on CNN at dynamic state and results in large stator flux ripple. Therefore, the adaptive switching strategy between the MPTC based on CNN and the direct torque control (DTC) is proposed, with the state of the system as the switching criterion. Simulation results show that the adaptive switching strategy can achieve high steady-state performance and suppress stator flux ripple at the dynamic state.
2022, 49(5):14-19.
DOI: 10.12177/emca.2022.021
Abstract:
In recent years, using the discrete model of the object and considering the finite switching state characteristics of power electronic systems, finite control set model predictive control (FCS-MPC) has been widely used in synchronous reluctance motor (SynRM) drive system to promote the energy efficiency. However, the FCS-MPC modeling process heavily depends on the SynRM mathematical model, and the accuracy of motor parameters directly affects the control effect. To solve the above problems, a data-driven MPC (DD-MPC) method is proposed. This method does not need the SynRM mathematical model information. It only utilizes the input-output data relationship of the SynRM. So the “synchronization of modeling and control” is realized. In addition, in order to ensure the convergence and stability of DD-MPC system, a DD-MPC data relation with high update rate is designed. By analyzing the current change information corresponding to the recent three-voltage-vector output, the corresponding current change relation of the global voltage vectors is deduced and updated. Finally, the control effect of DD-MPC is tested and analyzed based on a 25 kW prototype. Compared with the traditional FCS-MPC, the proposed method can effectively improve the robustness and stability, while maintaining the rapidity and flexibility of FCS-MPC.
In recent years, using the discrete model of the object and considering the finite switching state characteristics of power electronic systems, finite control set model predictive control (FCS-MPC) has been widely used in synchronous reluctance motor (SynRM) drive system to promote the energy efficiency. However, the FCS-MPC modeling process heavily depends on the SynRM mathematical model, and the accuracy of motor parameters directly affects the control effect. To solve the above problems, a data-driven MPC (DD-MPC) method is proposed. This method does not need the SynRM mathematical model information. It only utilizes the input-output data relationship of the SynRM. So the “synchronization of modeling and control” is realized. In addition, in order to ensure the convergence and stability of DD-MPC system, a DD-MPC data relation with high update rate is designed. By analyzing the current change information corresponding to the recent three-voltage-vector output, the corresponding current change relation of the global voltage vectors is deduced and updated. Finally, the control effect of DD-MPC is tested and analyzed based on a 25 kW prototype. Compared with the traditional FCS-MPC, the proposed method can effectively improve the robustness and stability, while maintaining the rapidity and flexibility of FCS-MPC.
2022, 49(5):20-26.
DOI: 10.12177/emca.2022.008
Abstract:
Aiming at the problem of large torque ripple in direct torque control (DTC) of permanent magnet assisted synchronous reluctance motor (PMASynRM), a deadbeat direct torque control (DB-DTC) scheme based on PMASynRM is proposed. The concept of effective flux is introduced into PMASynRM, so as to extract the rotor position information and apply it to DB-DTC, which improves the operation performance of the motor. The deadbeat torque control model based on stator field orientation is established to effectively simplify the calculation and suppress the torque ripple. The improved deadbeat direct torque and flux control (DB-DTFC) model is built based on MATLAB/Simulink. Simulation results show that the algorithm can effectively reduce the flux and torque ripple and has good dynamic and steady-state performance.
Aiming at the problem of large torque ripple in direct torque control (DTC) of permanent magnet assisted synchronous reluctance motor (PMASynRM), a deadbeat direct torque control (DB-DTC) scheme based on PMASynRM is proposed. The concept of effective flux is introduced into PMASynRM, so as to extract the rotor position information and apply it to DB-DTC, which improves the operation performance of the motor. The deadbeat torque control model based on stator field orientation is established to effectively simplify the calculation and suppress the torque ripple. The improved deadbeat direct torque and flux control (DB-DTFC) model is built based on MATLAB/Simulink. Simulation results show that the algorithm can effectively reduce the flux and torque ripple and has good dynamic and steady-state performance.
2022, 49(5):27-36.
DOI: 10.12177/emca.2022.007
Abstract:
Permanent magnet synchronous motor (PMSM) is widely used in new energy vehicles and other fields, and its precise control mostly depends on accurate motor parameters. The improved whale optimization algorithm (WOA) is used to optimize the initial weights and thresholds of BP neural network. Based on the improved BP neural network, a high-precision PMSM parameter identification method is proposed, which realizes the parameter identification of PMSM stator resistance, d-axis inductance, q-axis inductance and flux linkage. The simulation results show that, compared with traditional BP neural network and BP neural network method optimized by traditional WOA algorithm, the proposed method has higher identification accuracy, and the identification errors of the four parameters are all less than 2%. The effectiveness of the method is further verified on the experimental platform.
Permanent magnet synchronous motor (PMSM) is widely used in new energy vehicles and other fields, and its precise control mostly depends on accurate motor parameters. The improved whale optimization algorithm (WOA) is used to optimize the initial weights and thresholds of BP neural network. Based on the improved BP neural network, a high-precision PMSM parameter identification method is proposed, which realizes the parameter identification of PMSM stator resistance, d-axis inductance, q-axis inductance and flux linkage. The simulation results show that, compared with traditional BP neural network and BP neural network method optimized by traditional WOA algorithm, the proposed method has higher identification accuracy, and the identification errors of the four parameters are all less than 2%. The effectiveness of the method is further verified on the experimental platform.
2022, 49(5):37-42.
DOI: 10.12177/emca.2022.017
Abstract:
An excitation controller with advanced trigger control is designed by using LabVIEW RT, LabVIEW FPGA software modules and CompactRIO hardware platform. The controller is composed of master computer, excitation regulator and excitation trigger. The excitation regulator and master computer carry out PID control and human-computer interaction functions, respectively. The excitation trigger developed based on CompactRIO with the embedded FPGA circuit realizes reliable frequency tracking of synchronization signal and high-precision control of thyristor trigger pulse. An experimental verification platform is built to verify the new excitation controller. The results show that each part of the controller operates reliably, and the whole is coordinated and orderly. The pulse trigger control meets the requirements of high precision, and the trigger control efficiency in excitation regulation is improved.
An excitation controller with advanced trigger control is designed by using LabVIEW RT, LabVIEW FPGA software modules and CompactRIO hardware platform. The controller is composed of master computer, excitation regulator and excitation trigger. The excitation regulator and master computer carry out PID control and human-computer interaction functions, respectively. The excitation trigger developed based on CompactRIO with the embedded FPGA circuit realizes reliable frequency tracking of synchronization signal and high-precision control of thyristor trigger pulse. An experimental verification platform is built to verify the new excitation controller. The results show that each part of the controller operates reliably, and the whole is coordinated and orderly. The pulse trigger control meets the requirements of high precision, and the trigger control efficiency in excitation regulation is improved.
2022, 49(5):43-47,68.
DOI: 10.12177/emca.2022.019
Abstract:
The rotor angle of permanent magnet motor has an important influence on the control of the motor. At present, the resolver is widely used in the permanent magnet traction motor to detect the rotor angle and speed information. Based on the TMS320F28377D dual-core CPU combined with AD2S1210 decoding chip, a rotor position detection system is formed. Angle segment compensation is used for error correction. Thus, the accurate rotor angle information is provided for the permanent magnet motor control algorithm. The rotor angle information output by the decoding chip under different rotor frequencies is verified by the hardware-in-the-loop simulation platform. The detection method has the characteristics of high precision and strong anti-interference ability. It can meet the requirements of high reliability and stability of the traction system. The results of the simulation and experiments show the feasibility and effectiveness of the angle detection method proposed.
The rotor angle of permanent magnet motor has an important influence on the control of the motor. At present, the resolver is widely used in the permanent magnet traction motor to detect the rotor angle and speed information. Based on the TMS320F28377D dual-core CPU combined with AD2S1210 decoding chip, a rotor position detection system is formed. Angle segment compensation is used for error correction. Thus, the accurate rotor angle information is provided for the permanent magnet motor control algorithm. The rotor angle information output by the decoding chip under different rotor frequencies is verified by the hardware-in-the-loop simulation platform. The detection method has the characteristics of high precision and strong anti-interference ability. It can meet the requirements of high reliability and stability of the traction system. The results of the simulation and experiments show the feasibility and effectiveness of the angle detection method proposed.
2022, 49(5):48-53.
DOI: 10.12177/emca.2022.015
Abstract:
The axial segmented claw pole motor has the advantages of high torque density, simple structure, low manufacturing cost and material saving. A 1.5 kW, 9 000 r/min axial segmented claw pole motor is designed. The electromagnetic design and temperature distribution of the motor are analyzed to verify the rationality of the design. For the selection of claw pole parameters, the effects of claw pole angle and claw tip length on motor torque, torque ripple and no-load electromotive force are studied, and a suitable selection range is given. The analysis results provide a reference for the development of new products of the new vacuum dry pump drive motor.
The axial segmented claw pole motor has the advantages of high torque density, simple structure, low manufacturing cost and material saving. A 1.5 kW, 9 000 r/min axial segmented claw pole motor is designed. The electromagnetic design and temperature distribution of the motor are analyzed to verify the rationality of the design. For the selection of claw pole parameters, the effects of claw pole angle and claw tip length on motor torque, torque ripple and no-load electromotive force are studied, and a suitable selection range is given. The analysis results provide a reference for the development of new products of the new vacuum dry pump drive motor.
2022, 49(5):54-59.
DOI: 10.12177/emca.2022.006
Abstract:
Magnetic bearing has many advantages such as no friction, no wear and no lubrication. It has broad application prospects in the fields of blower, compressor and heating ventilation air conditioning (HVAC). For a 65 kW, 30 000 r/min heat pump compressor, a 5-degree-of-freedom (5-DOF) active magnetic bearing is designed based on the requirements of maximum load capacity and rotor diameter limitation. Aiming at the modal resonance problem of heat pump compressor after cabinet installation, the resonance mode is suppressed and eliminated by increasing the support strength of mounting frame. The magnetic bearing has been successfully applied to the practical heat pump compressor. In all operation conditions, the sensitivity function value of the magnetic bearing system is less than 12 dB, and the maximum peak-to-peak value of the rotor vibration is no more than 80 μm, especially it is less than 20 μm in the working speed range. It means that the heat pump compressor with the magnetic bearing can run stably for a long time, meeting the ISO 14839 requirements.
Magnetic bearing has many advantages such as no friction, no wear and no lubrication. It has broad application prospects in the fields of blower, compressor and heating ventilation air conditioning (HVAC). For a 65 kW, 30 000 r/min heat pump compressor, a 5-degree-of-freedom (5-DOF) active magnetic bearing is designed based on the requirements of maximum load capacity and rotor diameter limitation. Aiming at the modal resonance problem of heat pump compressor after cabinet installation, the resonance mode is suppressed and eliminated by increasing the support strength of mounting frame. The magnetic bearing has been successfully applied to the practical heat pump compressor. In all operation conditions, the sensitivity function value of the magnetic bearing system is less than 12 dB, and the maximum peak-to-peak value of the rotor vibration is no more than 80 μm, especially it is less than 20 μm in the working speed range. It means that the heat pump compressor with the magnetic bearing can run stably for a long time, meeting the ISO 14839 requirements.
2022, 49(5):60-63,81.
DOI: 10.12177/emca.2021.225
Abstract:
With the development of the wind power market, the power of the wind generator is gradually increased, and the volume is larger and larger, which brings difficulties to the direct drive generator transportation. When the outer diameter of the motor is greater than 5 m, the transportation cost will increase rapidly. In order to solve this problem, it is necessary to consider dividing the motor into several parts along the radial direction and transporting it to the project site for general assembly of the motor. After the motor is divided into segments, one coil cannot exist on two parts at the same time. The empty slot structure can effectively solve this problem. Firstly, the split technology of direct drive generator with the empty slot structure is presented. Secondly, the feasibility of the empty slot structure is analyzed by comparing the electromagnetic performance of the motor with and without the empty slot. Finally, the influence of the empty slot on the electromagnetic performance of the motor with different pole-slot combination is calculated. The feasibility of the empty slot scheme is proved.
With the development of the wind power market, the power of the wind generator is gradually increased, and the volume is larger and larger, which brings difficulties to the direct drive generator transportation. When the outer diameter of the motor is greater than 5 m, the transportation cost will increase rapidly. In order to solve this problem, it is necessary to consider dividing the motor into several parts along the radial direction and transporting it to the project site for general assembly of the motor. After the motor is divided into segments, one coil cannot exist on two parts at the same time. The empty slot structure can effectively solve this problem. Firstly, the split technology of direct drive generator with the empty slot structure is presented. Secondly, the feasibility of the empty slot structure is analyzed by comparing the electromagnetic performance of the motor with and without the empty slot. Finally, the influence of the empty slot on the electromagnetic performance of the motor with different pole-slot combination is calculated. The feasibility of the empty slot scheme is proved.
2022, 49(5):64-68.
DOI: 10.12177/emca.2022.004
Abstract:
Establishing an accurate switched reluctance motor (SRM) model has an important impact on improving the performance and control effect of SRM. For the problems of high saturation and serious nonlinearity of magnetic circuit during SRM operation, an SRM nonlinear model based on back propagation (BP) neural network algorithm optimized by mind evolutionary algorithm (MEA) is proposed. A four-phase 8/6-pole SRM model is established by using ANSYS Maxwell software and the finite element calculation is carried out. It is verified through the comparison between the simulated value and the experimental value that the model has higher accuracy than the BP neural network model without MEA optimization. It can better reflect the flux linkage and torque characteristics during SRM operation, and has better generalization ability.
Establishing an accurate switched reluctance motor (SRM) model has an important impact on improving the performance and control effect of SRM. For the problems of high saturation and serious nonlinearity of magnetic circuit during SRM operation, an SRM nonlinear model based on back propagation (BP) neural network algorithm optimized by mind evolutionary algorithm (MEA) is proposed. A four-phase 8/6-pole SRM model is established by using ANSYS Maxwell software and the finite element calculation is carried out. It is verified through the comparison between the simulated value and the experimental value that the model has higher accuracy than the BP neural network model without MEA optimization. It can better reflect the flux linkage and torque characteristics during SRM operation, and has better generalization ability.
2022, 49(5):69-74.
DOI: 10.12177/emca.2022.018
Abstract:
The basic principle and working characteristics of bearingless permanent magnet synchronous motor are expounded systematically. The variation characteristic curves of output traction torque, x-axis and y-axis levitation force with initial angle under the coupling excitation of rotor permanent magnet, traction current excitation and levitation current excitation are analyzed. The variation law of unilateral magnetic tension under different eccentricity in x-axis and y-axis directions is studied and verified by finite element simulation. The results show that the eccentricity of y-axis direction will increase the periodic average value of unilateral magnetic tension in the y-axis direction and the dynamic amplitude fluctuation in both x-axis and y-axis directions. With the increase of the eccentric distance in the y-axis direction, the average value and amplitude of the unilateral magnetic tension in the y-axis direction increase linearly, while the average value of the unilateral magnetic tension in the x-axis direction is approximately 0, and the amplitude increases linearly. The coupling excitation of rotor permanent magnet, traction and levitation winding current will produce rotating traction force and x-axis and y-axis levitation force. As long as the levitation force generated by the position of x-axis and y-axis is compensated in reverse, so that the combined force of the motor rotor in the directions of x-axis and y-axis is 0, the rotor can operate in a non-eccentric state during the rotation of the motor.
The basic principle and working characteristics of bearingless permanent magnet synchronous motor are expounded systematically. The variation characteristic curves of output traction torque, x-axis and y-axis levitation force with initial angle under the coupling excitation of rotor permanent magnet, traction current excitation and levitation current excitation are analyzed. The variation law of unilateral magnetic tension under different eccentricity in x-axis and y-axis directions is studied and verified by finite element simulation. The results show that the eccentricity of y-axis direction will increase the periodic average value of unilateral magnetic tension in the y-axis direction and the dynamic amplitude fluctuation in both x-axis and y-axis directions. With the increase of the eccentric distance in the y-axis direction, the average value and amplitude of the unilateral magnetic tension in the y-axis direction increase linearly, while the average value of the unilateral magnetic tension in the x-axis direction is approximately 0, and the amplitude increases linearly. The coupling excitation of rotor permanent magnet, traction and levitation winding current will produce rotating traction force and x-axis and y-axis levitation force. As long as the levitation force generated by the position of x-axis and y-axis is compensated in reverse, so that the combined force of the motor rotor in the directions of x-axis and y-axis is 0, the rotor can operate in a non-eccentric state during the rotation of the motor.
2022, 49(5):75-81.
DOI: 10.12177/emca.2022.012
Abstract:
Stator end leakage inductance is an important part of stator leakage inductance parameters. Accurate calculation of end leakage inductance is the key to motor transition process analysis and high performance motor control. Based on the energy method, Boit-Savart law and vector magnetic potential method, the leakage inductance parameters of horn mouth winding end, semi-elliptic winding end and semi-rectangular winding end are calculated. Compared with the test results, the most suitable calculation method of end leakage inductance for different winding end shapes is obtained. The analysis results show that the end leakage inductance of horn mouth winding end should be calculated by the vector magnetic potential method, the semi-elliptic winding end by the energy method, and the semi-rectangular winding end by the Boit-Savart method or the vector magnetic potential method.
Stator end leakage inductance is an important part of stator leakage inductance parameters. Accurate calculation of end leakage inductance is the key to motor transition process analysis and high performance motor control. Based on the energy method, Boit-Savart law and vector magnetic potential method, the leakage inductance parameters of horn mouth winding end, semi-elliptic winding end and semi-rectangular winding end are calculated. Compared with the test results, the most suitable calculation method of end leakage inductance for different winding end shapes is obtained. The analysis results show that the end leakage inductance of horn mouth winding end should be calculated by the vector magnetic potential method, the semi-elliptic winding end by the energy method, and the semi-rectangular winding end by the Boit-Savart method or the vector magnetic potential method.
2022, 49(5):82-86.
DOI: 10.12177/emca.2022.009
Abstract:
With the increase of acceleration and range requirements of electric vehicles, the requirements on power density and efficiency of electric drive unit also keep increasing. Aiming at this problem, the advantages of SiC materials are analyzed, and a pure-electric solution of electric drive unit based on SiC is given. The comparative bench tests for SiC-based and Si-based electric drive units are carried out separately. The test results show that the SiC-based electric drive unit can greatly improve the output power and efficiency, and significantly improve the acceleration and mileage performance of electric vehicles without increasing the size of drive unit. As an effective solution to improving the performance of electric vehicles, SiC-based electric drive unit will be the development direction of high performance electric vehicles in the future.
With the increase of acceleration and range requirements of electric vehicles, the requirements on power density and efficiency of electric drive unit also keep increasing. Aiming at this problem, the advantages of SiC materials are analyzed, and a pure-electric solution of electric drive unit based on SiC is given. The comparative bench tests for SiC-based and Si-based electric drive units are carried out separately. The test results show that the SiC-based electric drive unit can greatly improve the output power and efficiency, and significantly improve the acceleration and mileage performance of electric vehicles without increasing the size of drive unit. As an effective solution to improving the performance of electric vehicles, SiC-based electric drive unit will be the development direction of high performance electric vehicles in the future.
2022, 49(5):87-93.
DOI: 10.12177/emca.2022.016
Abstract:
The looseness fault of transformer winding leaves a huge hidden danger for the safety and stability of power system, but there is a lack of practical and effective diagnosis methods at present. Therefore, a method of transformer winding looseness voiceprint recognition based on 50 Hz frequency multiplying wavelet time-frequency entropy and RUSBoost is proposed. Firstly, according to the characteristics of transformer voiceprint, the 50 Hz frequency multiplying wavelet time-frequency entropy is proposed to extract the characteristics of voiceprint signal. Then, aiming at the problem of sample imbalance caused by less transformer fault samples, a pattern recognition method based on RUSBoost model is proposed. Finally, the effectiveness of this method is verified on the basis of field measurement data. The research results show that the proposed method can realize reliable diagnosis of transformer winding faults with different degrees of looseness, and the average recognition rate reaches 98.9%. The recognition accuracies of 75% looseness and 100% looseness with fewer samples are as high as 97.2% and 94.6%, respectively. The total recognition accuracy is improved by at least 3.3% compared with traditional models such as RF, DT, KNN and SVM, and the recognition accuracies of 75% looseness and 100% looseness with fewer samples are improved by at least 2.8% and 2.5%, respectively.
The looseness fault of transformer winding leaves a huge hidden danger for the safety and stability of power system, but there is a lack of practical and effective diagnosis methods at present. Therefore, a method of transformer winding looseness voiceprint recognition based on 50 Hz frequency multiplying wavelet time-frequency entropy and RUSBoost is proposed. Firstly, according to the characteristics of transformer voiceprint, the 50 Hz frequency multiplying wavelet time-frequency entropy is proposed to extract the characteristics of voiceprint signal. Then, aiming at the problem of sample imbalance caused by less transformer fault samples, a pattern recognition method based on RUSBoost model is proposed. Finally, the effectiveness of this method is verified on the basis of field measurement data. The research results show that the proposed method can realize reliable diagnosis of transformer winding faults with different degrees of looseness, and the average recognition rate reaches 98.9%. The recognition accuracies of 75% looseness and 100% looseness with fewer samples are as high as 97.2% and 94.6%, respectively. The total recognition accuracy is improved by at least 3.3% compared with traditional models such as RF, DT, KNN and SVM, and the recognition accuracies of 75% looseness and 100% looseness with fewer samples are improved by at least 2.8% and 2.5%, respectively.
2022, 49(5):94-102.
DOI: 10.12177/emca.2022.010
Abstract:
The introduction of the Z-source network in the distribution network can flexibly control the voltage and achieve high-efficiency conversion of electric energy. In order to analyze the model characteristics of the quasi-Z-source topology in detail, a small-signal model characteristic applied to the quasi-Z-source network in the distribution network by using the state-space method and the small-signal modeling method is proposed, analyzed and verified. Firstly, the state-space method is used to deduce the mathematical model of the quasi-Z-source network. Secondly, the transient analysis is carried out on the quasi-Z-source network by using the small-signal model, and the transfer functions of inductive current and capacitive voltage are obtained. In addition, the zero and pole distributions of the two transfer functions are analyzed in detail, and the characteristics of system stability are obtained. Finally, the results of the MATLAB/Simulink simulation and physical prototype experiments are presented for validating the proposed strategy.
The introduction of the Z-source network in the distribution network can flexibly control the voltage and achieve high-efficiency conversion of electric energy. In order to analyze the model characteristics of the quasi-Z-source topology in detail, a small-signal model characteristic applied to the quasi-Z-source network in the distribution network by using the state-space method and the small-signal modeling method is proposed, analyzed and verified. Firstly, the state-space method is used to deduce the mathematical model of the quasi-Z-source network. Secondly, the transient analysis is carried out on the quasi-Z-source network by using the small-signal model, and the transfer functions of inductive current and capacitive voltage are obtained. In addition, the zero and pole distributions of the two transfer functions are analyzed in detail, and the characteristics of system stability are obtained. Finally, the results of the MATLAB/Simulink simulation and physical prototype experiments are presented for validating the proposed strategy.
2022, 49(5):103-109.
DOI: 10.12177/emca.2022.014
Abstract:
The composition of the motor integrated test system is briefly introduced. Based on this system, the software development function requirements of the motor test system are analyzed, and the system software architecture is designed. Based on the software architecture, the C# programming language of the Visual Studio 2019 development platform is used to develop the motor integrated test system software. The design of the software human-machine interface is introduced in detail. The three-phase asynchronous motor is taken as a typical case, and the functional design and the realization of the typical test project of the test software are described in detail.
The composition of the motor integrated test system is briefly introduced. Based on this system, the software development function requirements of the motor test system are analyzed, and the system software architecture is designed. Based on the software architecture, the C# programming language of the Visual Studio 2019 development platform is used to develop the motor integrated test system software. The design of the software human-machine interface is introduced in detail. The three-phase asynchronous motor is taken as a typical case, and the functional design and the realization of the typical test project of the test software are described in detail.
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Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
