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Volume 49,Issue 11,2022 Table of Contents
2022, 49(11):1-8.
DOI: 10.12177/emca.2022.117
Abstract:
The traditional model predictive control (MPC) of permanent magnet synchronous motor (PMSM) applies only one voltage vector through ergodic calculation in a control cycle, which makes the control effect is not ideal, and the algorithm has a large amount of calculation. In order to solve this problem, an optimization method is proposed based on the existed two MPC methods, which achieves good dynamic and static performance while reducing switching frequency. This method reduces calculation by judging the sector. Runge-Kutta discrete method with higher precision is used in the discrete process. Lagrange multiplier method is used to calculate duty ratio. Finally, the effectiveness of the proposed method is verified by comparison with the existed two dual-vector MPC methods through model simulation.
The traditional model predictive control (MPC) of permanent magnet synchronous motor (PMSM) applies only one voltage vector through ergodic calculation in a control cycle, which makes the control effect is not ideal, and the algorithm has a large amount of calculation. In order to solve this problem, an optimization method is proposed based on the existed two MPC methods, which achieves good dynamic and static performance while reducing switching frequency. This method reduces calculation by judging the sector. Runge-Kutta discrete method with higher precision is used in the discrete process. Lagrange multiplier method is used to calculate duty ratio. Finally, the effectiveness of the proposed method is verified by comparison with the existed two dual-vector MPC methods through model simulation.
2022, 49(11):9-15.
DOI: 10.12177/emca.2022.115
Abstract:
During the cruise, the speed response system of permanent magnet synchronous motor (PMSM) in the manned electric aircraft is easily affected by parameter perturbation and external turbulence. In order to solve this problem, an online identification and torque compensation sliding mode control (SMC) method for PMSM of manned electric aircraft is put forward. The rotational inertia is identified online by the adaptive forgetting factor recursive least squares, so as to match the parameters of the controller in real time. Then, the rotational inertia is introduced into the Luenberger disturbance observer to observe the change of load torque, while estimating and compensating for the disturbance. The PI speed control method is replaced by a novel sliding speed control method. The proposed method can suppress the chattering caused by sliding variable structure and improve the response speed of the system while retaining the advantages of strong robustness of the SMC. Finally, the effectiveness of the method is verified by the simulation experiments and the semi-physical tests.
During the cruise, the speed response system of permanent magnet synchronous motor (PMSM) in the manned electric aircraft is easily affected by parameter perturbation and external turbulence. In order to solve this problem, an online identification and torque compensation sliding mode control (SMC) method for PMSM of manned electric aircraft is put forward. The rotational inertia is identified online by the adaptive forgetting factor recursive least squares, so as to match the parameters of the controller in real time. Then, the rotational inertia is introduced into the Luenberger disturbance observer to observe the change of load torque, while estimating and compensating for the disturbance. The PI speed control method is replaced by a novel sliding speed control method. The proposed method can suppress the chattering caused by sliding variable structure and improve the response speed of the system while retaining the advantages of strong robustness of the SMC. Finally, the effectiveness of the method is verified by the simulation experiments and the semi-physical tests.
2022, 49(11):16-21,77.
DOI: 10.12177/emca.2022.118
Abstract:
Aiming at the problems of low convergence speed and severe system chattering in permanent magnet linear synchronous motor (PMLSM) position tracking based on sliding mode control (SMC), the tracking accuracy of PMLSM control is further improved, and the dynamic quality of the system is improved. Based on the traditional power approaching law, Fal function is introduced, and a new global fast terminal sliding mode is combined. The approaching speed of the system is improved and the chattering of the system is effectively controlled. Outside the SMC system, the disturbance observer can be used to make feedforward compensation for the disturbance signals of the system, which improves the anti-disturbance processing ability of the system. MATLAB/Simulink software is used for computer simulation, and the results are compared with that of the traditional power approaching law SMC. The simulation analysis show that the tracking control algorithm can improve the tracking and control accuracy of the system, and enhance the system’s ability to resist disturbance.
Aiming at the problems of low convergence speed and severe system chattering in permanent magnet linear synchronous motor (PMLSM) position tracking based on sliding mode control (SMC), the tracking accuracy of PMLSM control is further improved, and the dynamic quality of the system is improved. Based on the traditional power approaching law, Fal function is introduced, and a new global fast terminal sliding mode is combined. The approaching speed of the system is improved and the chattering of the system is effectively controlled. Outside the SMC system, the disturbance observer can be used to make feedforward compensation for the disturbance signals of the system, which improves the anti-disturbance processing ability of the system. MATLAB/Simulink software is used for computer simulation, and the results are compared with that of the traditional power approaching law SMC. The simulation analysis show that the tracking control algorithm can improve the tracking and control accuracy of the system, and enhance the system’s ability to resist disturbance.
2022, 49(11):22-28.
DOI: 10.12177/emca.2022.112
Abstract:
In order to analyze the performance of the novel permanent magnet linear synchronous motor (PMLSM) and achieve the design of motor structure and the optimization of control, the mathematical model and electromagnetic characteristics are built and studied. The electromagnetic characteristics such as transient time, saturation characteristic and asymmetry are analyzed. Then the mathematical equations of the motor in the abc and dq0 coordinate systems are established to illustrate the electromagnetic coupling relationship. Besides, the equivalent circuit are established and the transient operating characteristics are calculated. Finally, the results of the voltage experimentation and the transient thrust finite element values are compared with that of the analytical calculation. The results are in good agreement and verify the correctness of the mathematical model.
In order to analyze the performance of the novel permanent magnet linear synchronous motor (PMLSM) and achieve the design of motor structure and the optimization of control, the mathematical model and electromagnetic characteristics are built and studied. The electromagnetic characteristics such as transient time, saturation characteristic and asymmetry are analyzed. Then the mathematical equations of the motor in the abc and dq0 coordinate systems are established to illustrate the electromagnetic coupling relationship. Besides, the equivalent circuit are established and the transient operating characteristics are calculated. Finally, the results of the voltage experimentation and the transient thrust finite element values are compared with that of the analytical calculation. The results are in good agreement and verify the correctness of the mathematical model.
2022, 49(11):29-33.
DOI: 10.12177/emca.2022.119
Abstract:
Single-phase asynchronous motor is widely and irreplaceable in the place of single-phase power supply. However, the single-phase asynchronous motor also has some problems, such as low efficiency and power factor, large amount of materials, large vibration and noise. The design and research of double capacitance single-phase asynchronous motor is carried out to improve the energy efficiency, and the working principle of the motor is analyzed. Taking YL801-2 motor as an example, the stator and rotor punching plates are selected according to the frame number, and the scheme selection and efficiency optimization design are carried out for the stator winding and slot size. The input current, output torque, efficiency, locked torque/locked current and other performance of indicators under rated and starting conditions are calculated by field circuit coupling finite element method. The results show that the performance reach the level II energy efficiency requirements of GB 18613—2020 and the technical requirements of JB/T 7588—2010. The design can be used for references to further improve the energy efficiency of single-phase asynchronous motors.
Single-phase asynchronous motor is widely and irreplaceable in the place of single-phase power supply. However, the single-phase asynchronous motor also has some problems, such as low efficiency and power factor, large amount of materials, large vibration and noise. The design and research of double capacitance single-phase asynchronous motor is carried out to improve the energy efficiency, and the working principle of the motor is analyzed. Taking YL801-2 motor as an example, the stator and rotor punching plates are selected according to the frame number, and the scheme selection and efficiency optimization design are carried out for the stator winding and slot size. The input current, output torque, efficiency, locked torque/locked current and other performance of indicators under rated and starting conditions are calculated by field circuit coupling finite element method. The results show that the performance reach the level II energy efficiency requirements of GB 18613—2020 and the technical requirements of JB/T 7588—2010. The design can be used for references to further improve the energy efficiency of single-phase asynchronous motors.
2022, 49(11):34-39,84.
DOI: 10.12177/emca.2022.124
Abstract:
The water-lubricated thrust bearing works as an important component in the submersible motor. The water-lubricated thrust bearing is often damaged by a poor working environment, overload, and alternating heat and cold resulting in failure of the sealing structure. The disassembling and assembling the acceleration sensor in the submersible motor is difficult and the acquisition of vibration signals is influenced by water damping pollution. To solve these problems, a mathematical model of the submersible motor under fault conditions is proposed, and the current signal is obtained by simulation. Based on the AlexNet model, the motor current signal (MCS) in different states is trained. The simulation results verify that the model can quickly identify fault signals with high accuracy, has strong robustness, and meets the requirements of predictability and real-time performance of fault diagnosis.
The water-lubricated thrust bearing works as an important component in the submersible motor. The water-lubricated thrust bearing is often damaged by a poor working environment, overload, and alternating heat and cold resulting in failure of the sealing structure. The disassembling and assembling the acceleration sensor in the submersible motor is difficult and the acquisition of vibration signals is influenced by water damping pollution. To solve these problems, a mathematical model of the submersible motor under fault conditions is proposed, and the current signal is obtained by simulation. Based on the AlexNet model, the motor current signal (MCS) in different states is trained. The simulation results verify that the model can quickly identify fault signals with high accuracy, has strong robustness, and meets the requirements of predictability and real-time performance of fault diagnosis.
7 Partial Discharge Pattern Recognition Method for High Voltage Motor Based on WOA-BP and D-S Evidence
2022, 49(11):40-47.
DOI: 10.12177/emca.2022.123
Abstract:
The single signal source feature cannot accurately identify the type of partial discharge. In order to solve this problem, a partial discharge pattern recognition method for high-voltage motors based on improved BP neural network and D-S evidence is proposed. The pulse phase information, ultra-high frequency signal and ultrasonic signal of different types of partial discharges are collected, and the eigen parameters of different signals are extracted. Then, the improved back propagation neural network (BPNN) recognition model based on whale optimization algorithm (WOA) is constructed to identify the partial discharge types, respectively. The recognition results of each recognition model are used as the evidence body to be fused using the D-S evidence combination rule. Finally, the fusion result is decided. The research results show that there are differences and uncertainties in the accuracy of independently identifying various types of partial discharges based on three types of single signal sources, and the recognition rates are 83.3%, 90.0%, and 83.3%, respectively. However, the commonality and difference of the three types of signal sources can be integrated and complementary, and have their own advantages, which can solve the problem of uncertainty in fault diagnosis. On this basis, the overall recognition rate of high-voltage motor partial discharge types based on D-S evidence fusion has increased to 96.6%, and three signal sources have been realized. Compared with a single model, the proposed method can identify partial discharge patterns stably and accurately, and has higher accuracy and reliability, which verifies the effectiveness and correctness of the proposed method.
The single signal source feature cannot accurately identify the type of partial discharge. In order to solve this problem, a partial discharge pattern recognition method for high-voltage motors based on improved BP neural network and D-S evidence is proposed. The pulse phase information, ultra-high frequency signal and ultrasonic signal of different types of partial discharges are collected, and the eigen parameters of different signals are extracted. Then, the improved back propagation neural network (BPNN) recognition model based on whale optimization algorithm (WOA) is constructed to identify the partial discharge types, respectively. The recognition results of each recognition model are used as the evidence body to be fused using the D-S evidence combination rule. Finally, the fusion result is decided. The research results show that there are differences and uncertainties in the accuracy of independently identifying various types of partial discharges based on three types of single signal sources, and the recognition rates are 83.3%, 90.0%, and 83.3%, respectively. However, the commonality and difference of the three types of signal sources can be integrated and complementary, and have their own advantages, which can solve the problem of uncertainty in fault diagnosis. On this basis, the overall recognition rate of high-voltage motor partial discharge types based on D-S evidence fusion has increased to 96.6%, and three signal sources have been realized. Compared with a single model, the proposed method can identify partial discharge patterns stably and accurately, and has higher accuracy and reliability, which verifies the effectiveness and correctness of the proposed method.
2022, 49(11):48-54.
DOI: 10.12177/emca.2022.125
Abstract:
When the stator winding of asynchronous motor fails in the traction control system, the stator winding is asymmetrically connected, which seriously affects the safe and stable operation of the traction control system of electric locomotive. Aiming at the open phase of the stator phase winding of the asynchronous motor in the traction control system, considering the terminal voltage constraint, the mathematical model of the motor open phase circuit is derived, and the mathematical model is verified based on the hardware-in-the-loop (HIL) simulation test platform. The system framework, design and implementation method, hardware and software connection configuration of HIL test platform are described in detail. The motor open phase mathematical model built under Xilinx software is downloaded to the dSPACE simulator for operation, connected with the traction control unit (TCU), and the HIL simulation experiment is carried out. The motor open phase is judged and handled through the detection algorithm. The experimental results verify the effectiveness of the simulation test platform. In a near real test environment, a theoretical basis and design basis for the motor open phase diagnosis and algorithm function development of the traction control system is provided.
When the stator winding of asynchronous motor fails in the traction control system, the stator winding is asymmetrically connected, which seriously affects the safe and stable operation of the traction control system of electric locomotive. Aiming at the open phase of the stator phase winding of the asynchronous motor in the traction control system, considering the terminal voltage constraint, the mathematical model of the motor open phase circuit is derived, and the mathematical model is verified based on the hardware-in-the-loop (HIL) simulation test platform. The system framework, design and implementation method, hardware and software connection configuration of HIL test platform are described in detail. The motor open phase mathematical model built under Xilinx software is downloaded to the dSPACE simulator for operation, connected with the traction control unit (TCU), and the HIL simulation experiment is carried out. The motor open phase is judged and handled through the detection algorithm. The experimental results verify the effectiveness of the simulation test platform. In a near real test environment, a theoretical basis and design basis for the motor open phase diagnosis and algorithm function development of the traction control system is provided.
2022, 49(11):55-62.
DOI: 10.12177/emca.2022.120
Abstract:
The brushless direct current motor (BLDCM) for aviation fuel pump has the blockage rotor failure fault phenomena. The fault factors, detecting technologies, and severity, controllability and impact areas are analyzed, and a method of fault detection and emergency control mechanism for BLDCM is designed. Then, for the operating condition of the BLDCM during and after blockage, a method of fault detection and emergency control mechanisms based on the BLDCM speed and bus current is designed and the simulations are completed. With the help of the existed BLDCM test bench for fuel pump, the fault detection and emergency control mechanism verification under the condition of the BLDCM blockage failure are completed. Based on the traditional stoppage protection, an emergency control mechanism of blockage failure which reduces the PWM duty cycle and delayed restart is designed according to the occurrence probability and disappearance sequence of the blockage failure in the BLDCM operation process. The control mechanism improves the survival ability of the system after blockage failure and reduces the false alarm rate. The results have technical maturity and provide engineering application value.
The brushless direct current motor (BLDCM) for aviation fuel pump has the blockage rotor failure fault phenomena. The fault factors, detecting technologies, and severity, controllability and impact areas are analyzed, and a method of fault detection and emergency control mechanism for BLDCM is designed. Then, for the operating condition of the BLDCM during and after blockage, a method of fault detection and emergency control mechanisms based on the BLDCM speed and bus current is designed and the simulations are completed. With the help of the existed BLDCM test bench for fuel pump, the fault detection and emergency control mechanism verification under the condition of the BLDCM blockage failure are completed. Based on the traditional stoppage protection, an emergency control mechanism of blockage failure which reduces the PWM duty cycle and delayed restart is designed according to the occurrence probability and disappearance sequence of the blockage failure in the BLDCM operation process. The control mechanism improves the survival ability of the system after blockage failure and reduces the false alarm rate. The results have technical maturity and provide engineering application value.
2022, 49(11):63-70.
DOI: 10.12177/emca.2022.121
Abstract:
Micro-energy system is an important aggregation part of urban distribution network terminals, and its ability to cope with the random characteristics of source-load provides an effective support for stable operation of urban distribution network. An intelligent dynamic scheduling method considering the random fluctuation of source-load is proposed for the micro-energy system in urban industrial park. A mathematical model is constructed for the economic dispatch of micro-energy system considering multiple dispatchable resources in the industrial park. Then, the constructed economic dispatch model of micro-energy system is represented as a deep reinforcement learning model with continuous action regulation. Finally, a dual delayed deep deterministic policy gradient algorithm is used to obtain the dynamic continuous dispatch policy under the deep reinforcement learning model. The proposed method not only avoids modeling the uncertainty of random fluctuation of source-load, but also avoids the discontinuity of adjustable equipment output with discrete Q-learning. Simulation results show that the proposed dynamic scheduling method has better economy and adaptivity.
Micro-energy system is an important aggregation part of urban distribution network terminals, and its ability to cope with the random characteristics of source-load provides an effective support for stable operation of urban distribution network. An intelligent dynamic scheduling method considering the random fluctuation of source-load is proposed for the micro-energy system in urban industrial park. A mathematical model is constructed for the economic dispatch of micro-energy system considering multiple dispatchable resources in the industrial park. Then, the constructed economic dispatch model of micro-energy system is represented as a deep reinforcement learning model with continuous action regulation. Finally, a dual delayed deep deterministic policy gradient algorithm is used to obtain the dynamic continuous dispatch policy under the deep reinforcement learning model. The proposed method not only avoids modeling the uncertainty of random fluctuation of source-load, but also avoids the discontinuity of adjustable equipment output with discrete Q-learning. Simulation results show that the proposed dynamic scheduling method has better economy and adaptivity.
2022, 49(11):71-77.
DOI: 10.12177/emca.2022.057
Abstract:
The limited transmission capacity of some lines occurs in power grid construction, with facing the problem of "insufficient grid inertia" caused by high proportion of power electronic equipment entering the power grid. In order to solve these problems, a novel motor-generator series transformer (MGST) power flow control method is proposed. The control method can not only realize active power flow control and reactive power compensation, but also provide inertia support for the power grid. Taking advantage of the condition that the synchronous motor unit itself has large inertia, its installation mode and the excitation control strategy of the motor are adjusted. Finally, the equipment is simulated and analyzed based on MATLAB/Simulink platform, and the results are compared with the simulation results of unified power flow controller (UPFC) device under the same situation. So, the adjustment effect of MGST device is analyzed. The simulation results show that the MGST device has the ability of controlling power flow and keeping voltage stable. However, due to the large inertia of motor rotor, the response speed is slightly lower than that of UPFC. As a novel power flow controller, the MGST device can achieve the expected adjustment effect at present.
The limited transmission capacity of some lines occurs in power grid construction, with facing the problem of "insufficient grid inertia" caused by high proportion of power electronic equipment entering the power grid. In order to solve these problems, a novel motor-generator series transformer (MGST) power flow control method is proposed. The control method can not only realize active power flow control and reactive power compensation, but also provide inertia support for the power grid. Taking advantage of the condition that the synchronous motor unit itself has large inertia, its installation mode and the excitation control strategy of the motor are adjusted. Finally, the equipment is simulated and analyzed based on MATLAB/Simulink platform, and the results are compared with the simulation results of unified power flow controller (UPFC) device under the same situation. So, the adjustment effect of MGST device is analyzed. The simulation results show that the MGST device has the ability of controlling power flow and keeping voltage stable. However, due to the large inertia of motor rotor, the response speed is slightly lower than that of UPFC. As a novel power flow controller, the MGST device can achieve the expected adjustment effect at present.
2022, 49(11):78-84.
DOI: 10.12177/emca.2022.113
Abstract:
Due to the damage of insulation between blades during operation, a short circuit may occur in the generator, causing local overheating, and even endangering the safe operation of the unit. It is necessary to conduct a loss test on the stator core of the generator. The current test scheme has problems such as difficulty in winding when conducting the large-scale unit tests. A method of using the different frequency current excitation method to test the loss of the stator iron core of the generator is proposed. The finite element simulation model of the iron core with short-circuit defects is established. By comparing the heating conditions of the iron core under the conditions of power frequency large current excitation and different frequency small current excitation, it is demonstrated that different frequency small current can replace the power frequency large current to carry out iron core loss test.
Due to the damage of insulation between blades during operation, a short circuit may occur in the generator, causing local overheating, and even endangering the safe operation of the unit. It is necessary to conduct a loss test on the stator core of the generator. The current test scheme has problems such as difficulty in winding when conducting the large-scale unit tests. A method of using the different frequency current excitation method to test the loss of the stator iron core of the generator is proposed. The finite element simulation model of the iron core with short-circuit defects is established. By comparing the heating conditions of the iron core under the conditions of power frequency large current excitation and different frequency small current excitation, it is demonstrated that different frequency small current can replace the power frequency large current to carry out iron core loss test.
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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.
