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Volume 48,Issue 12,2021 Table of Contents
2021, 48(12):1-6，20.
DOI: 10.12177/emca.2021.143
Abstract:
The built-in voltage overshoot, slow response speed, poor voltage stability and load disturbance exist in the aerospace three-stage generator. To solve these problems, a two-degree-of-freedom fractional order PID (2DOF FOPID) voltage regulation controller optimized by gray wolf hybrid particle swarm optimization (GWO-PSO) is designed on the basis of double loop voltage regulation structure. The two-degree-of-freedom control is used to enhance the ability of anti-interference and target tracking. The fractional order control is used to make the parameter setting more flexible and insensitive when the parameter of the controlled object changes, and the control performance of the system is improved. The improved GWO-PSO starts the search process with the mechanism of GWO algorithm, and then uses PSO algorithm to improve the position of grey wolf, so as to balance the ability of local search and global development of the algorithm. Then the improved algorithm is used to optimize the parameters of 2DOF FOPID controller. Simulation results show that the designed controller has the advantages of fast response and small overshoot. It improves the dynamic and static performance and anti-interference ability of the generator.
The built-in voltage overshoot, slow response speed, poor voltage stability and load disturbance exist in the aerospace three-stage generator. To solve these problems, a two-degree-of-freedom fractional order PID (2DOF FOPID) voltage regulation controller optimized by gray wolf hybrid particle swarm optimization (GWO-PSO) is designed on the basis of double loop voltage regulation structure. The two-degree-of-freedom control is used to enhance the ability of anti-interference and target tracking. The fractional order control is used to make the parameter setting more flexible and insensitive when the parameter of the controlled object changes, and the control performance of the system is improved. The improved GWO-PSO starts the search process with the mechanism of GWO algorithm, and then uses PSO algorithm to improve the position of grey wolf, so as to balance the ability of local search and global development of the algorithm. Then the improved algorithm is used to optimize the parameters of 2DOF FOPID controller. Simulation results show that the designed controller has the advantages of fast response and small overshoot. It improves the dynamic and static performance and anti-interference ability of the generator.
2021, 48(12):7-13.
DOI: 10.12177/emca.2021.121
Abstract:
The four simulation models of induction motor direct torque control (DTC) system, model predictive torque control (MPTC) system, the DTC system based on duty cycle modulation and the MPTC system based on duty cycle modulation are established. The comparisons of different control strategies are carried. Simulation results show that in terms of control performances, the MPTC based on duty cycle modulation>the MPTC>the DTC based on duty cycle modulation>the DTC. The duty cycle modulation based on torque deadbeat control can not only optimize the duty cycle of voltage vector, but also decrease torque ripple and improve control performance.
The four simulation models of induction motor direct torque control (DTC) system, model predictive torque control (MPTC) system, the DTC system based on duty cycle modulation and the MPTC system based on duty cycle modulation are established. The comparisons of different control strategies are carried. Simulation results show that in terms of control performances, the MPTC based on duty cycle modulation>the MPTC>the DTC based on duty cycle modulation>the DTC. The duty cycle modulation based on torque deadbeat control can not only optimize the duty cycle of voltage vector, but also decrease torque ripple and improve control performance.
2021, 48(12):14-20.
DOI: 10.12177/emca.2021.138
Abstract:
In order to improve the response ability and control stability of the transient process of the interior permanent magnet synchronous motor (IPMSM) by the sensorless control, the current loop of the system is designed with active disturbance rejection control (ADRC) technology, and the cross-coupling term is observed as an unknown disturbance to improve control accuracy and reduce current oscillations and overshoots. At the same time, linear extended state observer (LESO) technology is used to extract the rotor position information. Compared with the traditional sliding mode observer, the former system has smaller chattering and higher control efficiency and stability. The proposed system is compared with a position sensorless system based on the PI current loop control, and the simulation results of the difference in convergence speed and tracking smoothness are analyzed. It can be concluded that the positionless control system designed with ADRC current loop has better adaptability and the transient state process is more stable, and the current can realize steady and smooth tracking.
In order to improve the response ability and control stability of the transient process of the interior permanent magnet synchronous motor (IPMSM) by the sensorless control, the current loop of the system is designed with active disturbance rejection control (ADRC) technology, and the cross-coupling term is observed as an unknown disturbance to improve control accuracy and reduce current oscillations and overshoots. At the same time, linear extended state observer (LESO) technology is used to extract the rotor position information. Compared with the traditional sliding mode observer, the former system has smaller chattering and higher control efficiency and stability. The proposed system is compared with a position sensorless system based on the PI current loop control, and the simulation results of the difference in convergence speed and tracking smoothness are analyzed. It can be concluded that the positionless control system designed with ADRC current loop has better adaptability and the transient state process is more stable, and the current can realize steady and smooth tracking.
2021, 48(12):21-29.
DOI: 10.12177/emca.2021.135
Abstract:
Aiming at the wide speed range robust disturbance rejection speed tracking problem of interior permanent magnet synchronous motor (IPMSM) in electric vehicles, a high performance IPMSM nonlinear control technology is proposed. The maximum torque pea ampere (MTPA) scheme and flux weakening scheme are used to realize the wide speed range operation of IPMSM, and the algorithm is simplified by Taylor expansion. To eliminate the differential noise of the virtual controller, a second-order sliding mode differentiator is introduced to estimate its derivative, and an error compensation signal is designed. In addition, to improve the anti-interference ability of the system in the wide speed range, a disturbance observer is designed to estimate the load torque, the feedforward compensation is performed on the controller, and the integral sliding mode control (SMC) is combined to enhance the robustness of the system. Finally, the stability of the system is proved by Lyapunov stability criterion. The hardware in loop (HIL) platform of IPMSM is built based on FPGA, which verifies that the controller designed has excellent anti-interference ability and robustness.
Aiming at the wide speed range robust disturbance rejection speed tracking problem of interior permanent magnet synchronous motor (IPMSM) in electric vehicles, a high performance IPMSM nonlinear control technology is proposed. The maximum torque pea ampere (MTPA) scheme and flux weakening scheme are used to realize the wide speed range operation of IPMSM, and the algorithm is simplified by Taylor expansion. To eliminate the differential noise of the virtual controller, a second-order sliding mode differentiator is introduced to estimate its derivative, and an error compensation signal is designed. In addition, to improve the anti-interference ability of the system in the wide speed range, a disturbance observer is designed to estimate the load torque, the feedforward compensation is performed on the controller, and the integral sliding mode control (SMC) is combined to enhance the robustness of the system. Finally, the stability of the system is proved by Lyapunov stability criterion. The hardware in loop (HIL) platform of IPMSM is built based on FPGA, which verifies that the controller designed has excellent anti-interference ability and robustness.
5 Frequency Adaptive Complex Vector PI Controller Based CurrentHarmonics Suppression of PMSM Drives
2021, 48(12):30-36.
DOI: 10.12177/emca.2021.149
Abstract:
Current harmonics are induced into permanent magnet synchronous motor (PMSM) drive systems because of the inverter nonlinearity and back electromagnetic force (EMF) harmonics. Based on analysis of current harmonic characteristic, the complex vector PI (CVPI) controller is used to suppress current harmonics. In the d- and q-axis current loops of the field-oriented vector control system, multiple CVPI controllers whose central frequencies vary with the motor speed are employed in paralleled with original PI controllers. The PI controllers are used to adjust d- and q-axis direct current components, and the alternating current components are tracked and controlled by means of the large gains of the CVPI controller at the central frequencies. Consequently, the current harmonics are suppressed. The simulation and experimental results show that the CVPI controller has good suppression performance for current harmonics such as 5th and 7th, etc.
Current harmonics are induced into permanent magnet synchronous motor (PMSM) drive systems because of the inverter nonlinearity and back electromagnetic force (EMF) harmonics. Based on analysis of current harmonic characteristic, the complex vector PI (CVPI) controller is used to suppress current harmonics. In the d- and q-axis current loops of the field-oriented vector control system, multiple CVPI controllers whose central frequencies vary with the motor speed are employed in paralleled with original PI controllers. The PI controllers are used to adjust d- and q-axis direct current components, and the alternating current components are tracked and controlled by means of the large gains of the CVPI controller at the central frequencies. Consequently, the current harmonics are suppressed. The simulation and experimental results show that the CVPI controller has good suppression performance for current harmonics such as 5th and 7th, etc.
2021, 48(12):37-42，53.
DOI: 10.12177/emca.2021.125
Abstract:
Taking the stator winding of variable frequency motor as the research object, the effects of the frequency, peak value and rise time of the pulse width modulation (PWM) pulse wave output by converter on the transient voltage distribution characteristics of motor windings are analyzed. The results show that the increase of frequency has a direct impact on the motor loss, and then affects the voltage distribution through the loss. The increase of frequency and loss has a certain inhibitory effect on the amplitudes of voltage to ground and turn to turn voltage. With the increase of peak coefficient, the amplitude of voltage to ground of each coil increases, and the position of the maximum amplitude is transferred from near the neutral point to the motor end. The influence of the peak value on the turn to turn voltage distribution is relatively small. The variation range of the turn to turn voltage is 60~75 V, and the turn to turn voltage is evenly distributed under different peak coefficients. The rise time of the pulse has a great influence on the voltage distribution. With the decrease of the rise time of the pulse, the voltage to ground and turn to turn voltage increase linearly. Especially, the rise time has a decisive influence on the amplitude and the distribution uniformity of the turn to turn voltage.
Taking the stator winding of variable frequency motor as the research object, the effects of the frequency, peak value and rise time of the pulse width modulation (PWM) pulse wave output by converter on the transient voltage distribution characteristics of motor windings are analyzed. The results show that the increase of frequency has a direct impact on the motor loss, and then affects the voltage distribution through the loss. The increase of frequency and loss has a certain inhibitory effect on the amplitudes of voltage to ground and turn to turn voltage. With the increase of peak coefficient, the amplitude of voltage to ground of each coil increases, and the position of the maximum amplitude is transferred from near the neutral point to the motor end. The influence of the peak value on the turn to turn voltage distribution is relatively small. The variation range of the turn to turn voltage is 60~75 V, and the turn to turn voltage is evenly distributed under different peak coefficients. The rise time of the pulse has a great influence on the voltage distribution. With the decrease of the rise time of the pulse, the voltage to ground and turn to turn voltage increase linearly. Especially, the rise time has a decisive influence on the amplitude and the distribution uniformity of the turn to turn voltage.
2021, 48(12):43-47.
DOI: 10.12177/emca.2021.148
Abstract:
In order to improve the performance of permanent magnet synchronous motor (PMSM), the magnetic steel thickness, eccentric distance and pole arc coefficient are selected as variables to optimize the cogging torque and air-gap magnetic density distortion rate of the motor. Firstly, the sample space of each variable is obtained through orthogonal design method simulation. Secondly the support vector machine (SVM) is used to fit the simulation data set to obtain the fitting model of cogging torque and no-load air gap magnetic density distortion rate. Finally, multi-objective cultural differential evolution (MOCDE) algorithm is used to optimize the model. A 48-slot 8-pole PMSM is taken as an example for simulation verification. The simulation results show that the model based on SVM is accurate and reliable, and combined with MOCDE algorithm, it can effectively optimize the cogging torque and air-gap magnetic density distortion rate.
In order to improve the performance of permanent magnet synchronous motor (PMSM), the magnetic steel thickness, eccentric distance and pole arc coefficient are selected as variables to optimize the cogging torque and air-gap magnetic density distortion rate of the motor. Firstly, the sample space of each variable is obtained through orthogonal design method simulation. Secondly the support vector machine (SVM) is used to fit the simulation data set to obtain the fitting model of cogging torque and no-load air gap magnetic density distortion rate. Finally, multi-objective cultural differential evolution (MOCDE) algorithm is used to optimize the model. A 48-slot 8-pole PMSM is taken as an example for simulation verification. The simulation results show that the model based on SVM is accurate and reliable, and combined with MOCDE algorithm, it can effectively optimize the cogging torque and air-gap magnetic density distortion rate.
2021, 48(12):48-53.
DOI: 10.12177/emca.2021.141
Abstract:
There is a certain shafting deviation during the installation of magnetic clutch (MC). In view of the angular and radial deviation between the two rotors, the magnetic field distribution, eddy current distribution, axial magnetic pull, torque and other basic electromagnetic characteristics of the MC are analyzed and studied by deviation model and three-dimensional finite element method. With the increase of the radial deviation distance, the air gap magnetic field and eddy current distribution of conductor disk are shifted along the radial direction, and the torque of MC decreases gradually. With the increase of the angular deviation, the air gap magnetic field and eddy current density are asymmetrically distributed, and it shows obvious unbalanced axial magnetic pull, but the output torque drops first and then rises steadily.
There is a certain shafting deviation during the installation of magnetic clutch (MC). In view of the angular and radial deviation between the two rotors, the magnetic field distribution, eddy current distribution, axial magnetic pull, torque and other basic electromagnetic characteristics of the MC are analyzed and studied by deviation model and three-dimensional finite element method. With the increase of the radial deviation distance, the air gap magnetic field and eddy current distribution of conductor disk are shifted along the radial direction, and the torque of MC decreases gradually. With the increase of the angular deviation, the air gap magnetic field and eddy current density are asymmetrically distributed, and it shows obvious unbalanced axial magnetic pull, but the output torque drops first and then rises steadily.
2021, 48(12):54-60，110.
DOI: 10.12177/emca.2021.127
Abstract:
With the rapid development of science and technology in China, induction motor is not only the most widely used motor in traditional industrial and agricultural production, but also a widely used power source in the field of electric vehicles and aerospace science and technology. Therefore, the overload protection technology in motor also needs to be more and more intelligent. A more intelligent protection method is proposed based on the traditional resistance overload protection, which realizes the real-time identification of stator resistance during motor operation, and then the internal temperature of the motor can be calculated directly through the relationship between resistance and temperature. Moreover, a 1DPT160M series variable frequency speed regulating induction motor is used for experiments to verify the feasibility of the method, which provides a new principle for overload protection technology of motor protector.
With the rapid development of science and technology in China, induction motor is not only the most widely used motor in traditional industrial and agricultural production, but also a widely used power source in the field of electric vehicles and aerospace science and technology. Therefore, the overload protection technology in motor also needs to be more and more intelligent. A more intelligent protection method is proposed based on the traditional resistance overload protection, which realizes the real-time identification of stator resistance during motor operation, and then the internal temperature of the motor can be calculated directly through the relationship between resistance and temperature. Moreover, a 1DPT160M series variable frequency speed regulating induction motor is used for experiments to verify the feasibility of the method, which provides a new principle for overload protection technology of motor protector.
2021, 48(12):61-65，77.
DOI: 10.12177/emca.2021.140
Abstract:
Synchronous condensers play an important role in direct current power transmission systems. In order to understand the running condition of synchronous condensers more timely and intuitively, Java Web technology and Python programming are used to realize real-time condition monitoring and accurate fault warning of synchronous condensers. The front-end visualization page displays the running data of the synchronous condensers in the form of scatter graphs, line graphs and reports. The fault judgment of the back-end fault warning program is displayed in the front-end interface in the form of a pop-up box, so that the staff can understand the fault information in time to ensure the safety and stability of synchronous condensers.
Synchronous condensers play an important role in direct current power transmission systems. In order to understand the running condition of synchronous condensers more timely and intuitively, Java Web technology and Python programming are used to realize real-time condition monitoring and accurate fault warning of synchronous condensers. The front-end visualization page displays the running data of the synchronous condensers in the form of scatter graphs, line graphs and reports. The fault judgment of the back-end fault warning program is displayed in the front-end interface in the form of a pop-up box, so that the staff can understand the fault information in time to ensure the safety and stability of synchronous condensers.
2021, 48(12):66-70.
DOI: 10.12177/emca.2021.139
Abstract:
Aiming at the difficulty of fault feature extraction of fan bearing vibration signals, a fault diagnosis method of the fan bearing based on the multi-scale fuzzy entropy (MFE) feature extraction and combined with the sooty tern optimization algorithm (STOA) optimized support vector machine (SVM) is proposed. Firstly, the original vibration signals are collected and the multi-level fuzzy entropy is calculated. Secondly, the fault feature vector set is constructed as the input of SVM. Finally, the STOA is used to optimize SVM for classification and diagnosis of bearing faults. Simulation based on the bearing vibration data from Case Western Reserve University shows that the bearing fault diagnosis accuracy reaches 99.3%, which proves that the proposed method has high accuracy and effectiveness.
Aiming at the difficulty of fault feature extraction of fan bearing vibration signals, a fault diagnosis method of the fan bearing based on the multi-scale fuzzy entropy (MFE) feature extraction and combined with the sooty tern optimization algorithm (STOA) optimized support vector machine (SVM) is proposed. Firstly, the original vibration signals are collected and the multi-level fuzzy entropy is calculated. Secondly, the fault feature vector set is constructed as the input of SVM. Finally, the STOA is used to optimize SVM for classification and diagnosis of bearing faults. Simulation based on the bearing vibration data from Case Western Reserve University shows that the bearing fault diagnosis accuracy reaches 99.3%, which proves that the proposed method has high accuracy and effectiveness.
2021, 48(12):71-77.
DOI: 10.12177/emca.2021.137
Abstract:
As the industry upgrades, the reliability demand has gradually increased, the fault detection of motor has become the current research hotspot. Since the available detecting signals of the motor are few, the load condition is complex, and there exists signal processing error, the characteristics of broken rotor bar of squirrel-cage motor is difficult to detect. Regarding the broken rotor bar (bad bar) as the research object, finite element simulation and modeling of broken rotor bar are carried out, a variety of signal processing methods are studied comparatively, and a detection method with high accuracy and anti-interference ability is proposed. It can achieve the goal of distinguishing the broken rotor bar (bad bar) type and predicting the fault degree.
As the industry upgrades, the reliability demand has gradually increased, the fault detection of motor has become the current research hotspot. Since the available detecting signals of the motor are few, the load condition is complex, and there exists signal processing error, the characteristics of broken rotor bar of squirrel-cage motor is difficult to detect. Regarding the broken rotor bar (bad bar) as the research object, finite element simulation and modeling of broken rotor bar are carried out, a variety of signal processing methods are studied comparatively, and a detection method with high accuracy and anti-interference ability is proposed. It can achieve the goal of distinguishing the broken rotor bar (bad bar) type and predicting the fault degree.
2021, 48(12):78-84，93.
DOI: 10.12177/emca.2021.129
Abstract:
In order to accurately determine the fault process of double-Y-type asymmetric three-phase asynchronous motor, based on the theory of motor asymmetry, with the help of ANSYS finite element analysis software, the simulation model of double-Y-type three-phase asynchronous motor is built, the abnormity of three-phase current under stator winding asymmetry is verified, and the effect of resistance asymmetric rate on the working characteristic of the motor is analyzed. Three operating conditions of motor failure are discussed. The results show that the three-phase current abnormity caused by the winding asymmetry amplifies cyclically, and the degrees of asymmetry of amplitude and phase angle of three-phase current increase with the increase of the fault degree.
In order to accurately determine the fault process of double-Y-type asymmetric three-phase asynchronous motor, based on the theory of motor asymmetry, with the help of ANSYS finite element analysis software, the simulation model of double-Y-type three-phase asynchronous motor is built, the abnormity of three-phase current under stator winding asymmetry is verified, and the effect of resistance asymmetric rate on the working characteristic of the motor is analyzed. Three operating conditions of motor failure are discussed. The results show that the three-phase current abnormity caused by the winding asymmetry amplifies cyclically, and the degrees of asymmetry of amplitude and phase angle of three-phase current increase with the increase of the fault degree.
2021, 48(12):85-93.
DOI: 10.12177/emca.2021.118
Abstract:
Short-term wind speed is intermittent, fluctuating, nonlinear and non-stationary, and has a high degree of complexity, which is difficult to predict. The wind speed signal can be seen as coupled from simple signals with low complexity and strong regularity, so the decomposition method can be used to make it divided into multi-scale fluctuating energy, reduce the component complexity and enhance its regularity, which can improve its prediction accuracy. Therefore, to improve the learning efficiency of the neural network, the Kmeans algorithm is used to cluster the original wind speed data on similar days. Secondly, the wind speed sequence is decomposed using VMD to extract the multiscale regularity. Finally, because the LSTM neural network is more capable of capturing the fluctuation regularity of the long-dependent sequence, the decomposed wind speed components are predicted by using the LSTM neural network, and the final prediction results are obtained by superimposing the predicted values of each component. The combination prediction model based on Kmeans-VMD-LSTM can effectively improve the accuracy of short-term wind speed prediction as shown by a large number of experiments and comparisons between different methods.
Short-term wind speed is intermittent, fluctuating, nonlinear and non-stationary, and has a high degree of complexity, which is difficult to predict. The wind speed signal can be seen as coupled from simple signals with low complexity and strong regularity, so the decomposition method can be used to make it divided into multi-scale fluctuating energy, reduce the component complexity and enhance its regularity, which can improve its prediction accuracy. Therefore, to improve the learning efficiency of the neural network, the Kmeans algorithm is used to cluster the original wind speed data on similar days. Secondly, the wind speed sequence is decomposed using VMD to extract the multiscale regularity. Finally, because the LSTM neural network is more capable of capturing the fluctuation regularity of the long-dependent sequence, the decomposed wind speed components are predicted by using the LSTM neural network, and the final prediction results are obtained by superimposing the predicted values of each component. The combination prediction model based on Kmeans-VMD-LSTM can effectively improve the accuracy of short-term wind speed prediction as shown by a large number of experiments and comparisons between different methods.
2021, 48(12):94-103.
DOI: 10.12177/emca.2021.132
Abstract:
The parasitic inductance scattered across the gate, source, and drain of the metal-oxide-semiconductor field-effect transistor (MOSFET) changes the switching characteristics of the MOSFET due to the packaging and printed circuit board (PCB) wiring. Through simulation analysis and comparison, it is pointed out that MOSFET parasitic inductance has the following characteristics. The source inductance forms a negative feedback on the gate drive, resulting in a slow switching speed. The Kelvin connection can decouple the gate loop and the power loop and quicken the driving speed. When the Miller effect occurs, the gate inductance should be reasonably reduced to reduce the driving current of the gate. The drain inductance influences the switching speed of MOSFET through Miller capacitance, resulting in an increase in voltage stress at the turn-off moment. In the parallel circuit, the asymmetrical layout will lead to the dynamic uneven current between MOSFETs. When the loop inductance oscillates with the junction capacitance of MOSFET in the switching process, the loop inductance can be reduced by adding the absorption capacitance in the circuit, and the oscillation characteristics can be changed.
The parasitic inductance scattered across the gate, source, and drain of the metal-oxide-semiconductor field-effect transistor (MOSFET) changes the switching characteristics of the MOSFET due to the packaging and printed circuit board (PCB) wiring. Through simulation analysis and comparison, it is pointed out that MOSFET parasitic inductance has the following characteristics. The source inductance forms a negative feedback on the gate drive, resulting in a slow switching speed. The Kelvin connection can decouple the gate loop and the power loop and quicken the driving speed. When the Miller effect occurs, the gate inductance should be reasonably reduced to reduce the driving current of the gate. The drain inductance influences the switching speed of MOSFET through Miller capacitance, resulting in an increase in voltage stress at the turn-off moment. In the parallel circuit, the asymmetrical layout will lead to the dynamic uneven current between MOSFETs. When the loop inductance oscillates with the junction capacitance of MOSFET in the switching process, the loop inductance can be reduced by adding the absorption capacitance in the circuit, and the oscillation characteristics can be changed.
2021, 48(12):104-110.
DOI: 10.12177/emca.2021.134
Abstract:
In order to improve the stability and economy of the island limited capacity system, multiple same type or different type generator sets are operated in parallel to realize the output expansion of the system. The parallel control and load distribution strategy of the generator sets are the core factors which determine the stability of the system. Thus, a diesel generator sets control system is designed based on CAN bus. Firstly, the integrated design for the CAN bus control system is carried out. Secondly, according to the requirements of parallel operation of the diesel generator sets, the control strategies of speed and voltage regulation, and load balancing distribution are analyzed and studied. The parallel control and load distribution strategies are formulated. Lastly, combined with engineering application cases, the application of the control system is successfully realized for the same type and different type generator sets. The system also has perfect engine fuel control and fault diagnosis functions.
In order to improve the stability and economy of the island limited capacity system, multiple same type or different type generator sets are operated in parallel to realize the output expansion of the system. The parallel control and load distribution strategy of the generator sets are the core factors which determine the stability of the system. Thus, a diesel generator sets control system is designed based on CAN bus. Firstly, the integrated design for the CAN bus control system is carried out. Secondly, according to the requirements of parallel operation of the diesel generator sets, the control strategies of speed and voltage regulation, and load balancing distribution are analyzed and studied. The parallel control and load distribution strategies are formulated. Lastly, combined with engineering application cases, the application of the control system is successfully realized for the same type and different type generator sets. The system also has perfect engine fuel control and fault diagnosis functions.
2021, 48(12):111-119.
DOI: 10.12177/emca.2021.144
Abstract:
Nuclear power plant diesel generators need to have the characteristics of fast start-up speed, large active power, long power supply time, high reliability, good load performance, and so on. As the core control component of the unit, the speed regulation system plays a crucial role in the stable and reliable operation of the unit. The low frequency oscillation exists in the traditional speed regulation control method for diesel generators with external power network fluctuation. To solve the problem, a kind of speed regulation method for diesel generators based on power system stabilizer (PSS) and fuzzy PID control is proposed. The diesel generator speed control system model is built based on MATLAB Simulink simulation software. The simulation results show that the proposed method has high adaptability and robustness, which not only improves the control precision of diesel engine speed, but also speeds up the stability of terminal voltage and power.
Nuclear power plant diesel generators need to have the characteristics of fast start-up speed, large active power, long power supply time, high reliability, good load performance, and so on. As the core control component of the unit, the speed regulation system plays a crucial role in the stable and reliable operation of the unit. The low frequency oscillation exists in the traditional speed regulation control method for diesel generators with external power network fluctuation. To solve the problem, a kind of speed regulation method for diesel generators based on power system stabilizer (PSS) and fuzzy PID control is proposed. The diesel generator speed control system model is built based on MATLAB Simulink simulation software. The simulation results show that the proposed method has high adaptability and robustness, which not only improves the control precision of diesel engine speed, but also speeds up the stability of terminal voltage and power.
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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.
