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Volume 48,Issue 9,2021 Table of Contents
2021, 48(9):1-7.
DOI: 10.12177/emca.2021.086
Abstract:
Because of the special structure, transverse flux permanent magnet motor (TFPMM) has some problems such as low power factor and large torque ripple, so it is necessary to improve the control algorithm to reduce the torque ripple and improve the control efficiency. Based on the traditional direct torque control (DTC), a DTC control strategy using space vector modulation (SVM) is proposed to solve the problems of inaccurate current and flux linkage control and large torque ripple in the traditional control strategy. Aiming at the problem of large cogging torque of TFPMM, the motor cogging torque is fit into the expression of electrical angle, and compensated to the output of torque observer, so that the torque observer can observe the cogging torque component, and then the cogging torque ripple can be suppressed. Simulation results show that SVM-DTC has smoother current waveform and more accurate flux linkage control than the traditional DTC. After adopting the cogging torque compensation method, the motor torque ripple is significantly reduced, which verifies the effectiveness of the compensation control algorithm. The improved control algorithm enhances the overall performance of the motor control system.
Because of the special structure, transverse flux permanent magnet motor (TFPMM) has some problems such as low power factor and large torque ripple, so it is necessary to improve the control algorithm to reduce the torque ripple and improve the control efficiency. Based on the traditional direct torque control (DTC), a DTC control strategy using space vector modulation (SVM) is proposed to solve the problems of inaccurate current and flux linkage control and large torque ripple in the traditional control strategy. Aiming at the problem of large cogging torque of TFPMM, the motor cogging torque is fit into the expression of electrical angle, and compensated to the output of torque observer, so that the torque observer can observe the cogging torque component, and then the cogging torque ripple can be suppressed. Simulation results show that SVM-DTC has smoother current waveform and more accurate flux linkage control than the traditional DTC. After adopting the cogging torque compensation method, the motor torque ripple is significantly reduced, which verifies the effectiveness of the compensation control algorithm. The improved control algorithm enhances the overall performance of the motor control system.
2021, 48(9):8-13,35.
DOI: 10.12177/emca.2021.070
Abstract:
Electrically excited linear synchronous motor (EELSM) maglev control system can realize direct drive and frictionless feed, effectively improving the steady state and dynamic performance of servo system. Considering the uncertainty disturbance of EELSM system, the active disturbance rejection control (ADRC) strategy is proposed. According to the special structure and working mechanism of EELSM, the mathematical model of EELSM system is derived, including the voltage equation, magnetic levitation force equation and motion equation of the excitation circuit. The third-order nonlinear active disturbance rejection control (NLADRC) is designed. Taking the outside disturbances above the maglev system as total disturbance, the total disturbance is estimated and compensated, and the system anti-interference ability and the tracking accuracy can be effectively improved. Considering that the NLADRC has multiple parameters tuning and the physical meaning is not clear, the law of the nonlinear function parameters tuning is summarized. Finally, the simulation model of the ADRC system is established. The simulation results show that the EELSM servo system with ADRC has good dynamic performance and can effectively suppress disturbance in comparison with PI controller.
Electrically excited linear synchronous motor (EELSM) maglev control system can realize direct drive and frictionless feed, effectively improving the steady state and dynamic performance of servo system. Considering the uncertainty disturbance of EELSM system, the active disturbance rejection control (ADRC) strategy is proposed. According to the special structure and working mechanism of EELSM, the mathematical model of EELSM system is derived, including the voltage equation, magnetic levitation force equation and motion equation of the excitation circuit. The third-order nonlinear active disturbance rejection control (NLADRC) is designed. Taking the outside disturbances above the maglev system as total disturbance, the total disturbance is estimated and compensated, and the system anti-interference ability and the tracking accuracy can be effectively improved. Considering that the NLADRC has multiple parameters tuning and the physical meaning is not clear, the law of the nonlinear function parameters tuning is summarized. Finally, the simulation model of the ADRC system is established. The simulation results show that the EELSM servo system with ADRC has good dynamic performance and can effectively suppress disturbance in comparison with PI controller.
2021, 48(9):14-20.
DOI: 10.12177/emca.2021.077
Abstract:
The existence of nonlinear friction often affects the performance of servo systems. A composite nonlinear trajectory tracking controller is designed for typical motor servo systems, and the unmeasured speed and unknown disturbance are estimated through a reduced-order extended state observer. In order to eliminate the adverse effects of friction, an adaptive friction compensation mechanism is added into the trajectory tracking controller. Simulation analysis is carried out through MATLAB, and then the control scheme is applied to a DC motor servo system for experimental verification. Simulation and experimental results show that the adaptive compensation scheme can effectively suppress the adverse effects of friction on the system, thereby enabling the controlled system to track the target trajectory quickly and accurately.
The existence of nonlinear friction often affects the performance of servo systems. A composite nonlinear trajectory tracking controller is designed for typical motor servo systems, and the unmeasured speed and unknown disturbance are estimated through a reduced-order extended state observer. In order to eliminate the adverse effects of friction, an adaptive friction compensation mechanism is added into the trajectory tracking controller. Simulation analysis is carried out through MATLAB, and then the control scheme is applied to a DC motor servo system for experimental verification. Simulation and experimental results show that the adaptive compensation scheme can effectively suppress the adverse effects of friction on the system, thereby enabling the controlled system to track the target trajectory quickly and accurately.
2021, 48(9):21-26.
DOI: 10.12177/emca.2021.076
Abstract:
For the problem that current in single-vector model predictive current control (MPCC) of permanent magnet synchronous motor (PMSM) fluctuates greatly, an improved two-vector model predictive current control (TV-MPCC) algorithm is proposed. A zero voltage vector and an effective voltage vector or two effective voltage vectors in each sector are used to synthesize a desired voltage vector, and the optimal voltage vector is selected by using the principle of minimization of value function. The action time of the voltage vector is calculated by the dq-axis current dead-beat control method, which can realize dead-beat control of the current. Finally, the model is built in MATLAB/Simulink. The simulation results show that, compared with the single-vector MPCC, the optimized control strategy reduces the current fluctuation and improves the system stability.
For the problem that current in single-vector model predictive current control (MPCC) of permanent magnet synchronous motor (PMSM) fluctuates greatly, an improved two-vector model predictive current control (TV-MPCC) algorithm is proposed. A zero voltage vector and an effective voltage vector or two effective voltage vectors in each sector are used to synthesize a desired voltage vector, and the optimal voltage vector is selected by using the principle of minimization of value function. The action time of the voltage vector is calculated by the dq-axis current dead-beat control method, which can realize dead-beat control of the current. Finally, the model is built in MATLAB/Simulink. The simulation results show that, compared with the single-vector MPCC, the optimized control strategy reduces the current fluctuation and improves the system stability.
2021, 48(9):27-35.
DOI: 10.12177/emca.2021.063
Abstract:
The control performance of permanent magnet direct drive system of belt conveyor is poor when PID is used for speed regulation control, and the problems of asynchronous speed and poor stability between motors occur when multiple permanent magnet motors are used to drive at the same time. The active disturbance rejection synchronous control strategy of multi-permanent-magnet-motor drive system of belt conveyor is proposed. Based on the active disturbance rejection control (ADRC) technology, two speed control strategies are designed and the comparative experiments are carried out by building a simulation model. The optimal speed control strategy is selected, and the structure of the traditional deviation coupling control is improved by combining fuzzy PID control. Taking the multi-permanent-magnet-motor drive system as the control object, the synchronization control experiments based on the master-slave, the traditional deviation coupling and the improved deviation coupling synchronization control structures are carried out. The results show that the synchronous control strategy of multi-permanent-magnet-motor drive system for mining heavy belt conveyor based on second-order ADRC and improved deviation coupling control structure has better anti-interference ability, control accuracy and synchronization.
The control performance of permanent magnet direct drive system of belt conveyor is poor when PID is used for speed regulation control, and the problems of asynchronous speed and poor stability between motors occur when multiple permanent magnet motors are used to drive at the same time. The active disturbance rejection synchronous control strategy of multi-permanent-magnet-motor drive system of belt conveyor is proposed. Based on the active disturbance rejection control (ADRC) technology, two speed control strategies are designed and the comparative experiments are carried out by building a simulation model. The optimal speed control strategy is selected, and the structure of the traditional deviation coupling control is improved by combining fuzzy PID control. Taking the multi-permanent-magnet-motor drive system as the control object, the synchronization control experiments based on the master-slave, the traditional deviation coupling and the improved deviation coupling synchronization control structures are carried out. The results show that the synchronous control strategy of multi-permanent-magnet-motor drive system for mining heavy belt conveyor based on second-order ADRC and improved deviation coupling control structure has better anti-interference ability, control accuracy and synchronization.
2021, 48(9):36-42.
DOI: 10.12177/emca.2021.091
Abstract:
Permanent magnet synchronous motor (PMSM) and the inverters and controllers are important parts of the platform’s power system, and the vibration and noise indicators have a great impact on the realization of the platform’s quality goals. Due to factors such as the non-ideal pole-slot combination and the poor sinusoidal degree of the air gap flux density, the winding current will contain the 5th and 7th harmonics, which will cause the motor to produce harmonic torque pulsation as well as vibration and noise. In order to reduce the vibration and noise of PMSM during the operation, a novel harmonic suppression strategy is discussed, in which the harmonic current is injected into the phase current of the PMSM system to generate harmonic torque, thereby canceling the existing low-order harmonic torque ripple. The effectiveness of this strategy is verified by simulation and experiment.
Permanent magnet synchronous motor (PMSM) and the inverters and controllers are important parts of the platform’s power system, and the vibration and noise indicators have a great impact on the realization of the platform’s quality goals. Due to factors such as the non-ideal pole-slot combination and the poor sinusoidal degree of the air gap flux density, the winding current will contain the 5th and 7th harmonics, which will cause the motor to produce harmonic torque pulsation as well as vibration and noise. In order to reduce the vibration and noise of PMSM during the operation, a novel harmonic suppression strategy is discussed, in which the harmonic current is injected into the phase current of the PMSM system to generate harmonic torque, thereby canceling the existing low-order harmonic torque ripple. The effectiveness of this strategy is verified by simulation and experiment.
7 High Precision Angle Adaptive Control Method of Synchronous Motor Based on Association Rules and PLC
2021, 48(9):43-47.
DOI: 10.12177/emca.2021.079
Abstract:
The conventional angle adaptive control methods are not accurately combined with the actual operation data of synchronous motor, which leads to the lack of accuracy in the actual control. Therefore, a high-precision angle adaptive control method of synchronous motor based on association rules and PLC is proposed. The gain efficiency of synchronous motor is calculated, and the results are weighted to get the calculation method of ideal transmission ratio of synchronous motor angle. An association database is established to optimize the angle control gain coefficient based on association rules. The end condition of the algorithm is judged by the adaptability coefficient, the adaptive model structure is established, the angular centroid deviation distance of synchronous motor is obtained, and the angular fuzzy adaptive algorithm is designed. In the comparative experiment, the mean value of adaptability coefficient in the experimental group is 0.48/0.92 mm, and the mean values of the three control groups are 0.27/0.82, 0.42/0.57 and 0.26/0.86 mm, respectively. The experimental data shows that, compared with the conventional algorithm, the high-precision angle adaptive control method of synchronous motor based on association rules and PLC is more suitable for the actual operation of synchronous motor, and has higher precision control effect.
The conventional angle adaptive control methods are not accurately combined with the actual operation data of synchronous motor, which leads to the lack of accuracy in the actual control. Therefore, a high-precision angle adaptive control method of synchronous motor based on association rules and PLC is proposed. The gain efficiency of synchronous motor is calculated, and the results are weighted to get the calculation method of ideal transmission ratio of synchronous motor angle. An association database is established to optimize the angle control gain coefficient based on association rules. The end condition of the algorithm is judged by the adaptability coefficient, the adaptive model structure is established, the angular centroid deviation distance of synchronous motor is obtained, and the angular fuzzy adaptive algorithm is designed. In the comparative experiment, the mean value of adaptability coefficient in the experimental group is 0.48/0.92 mm, and the mean values of the three control groups are 0.27/0.82, 0.42/0.57 and 0.26/0.86 mm, respectively. The experimental data shows that, compared with the conventional algorithm, the high-precision angle adaptive control method of synchronous motor based on association rules and PLC is more suitable for the actual operation of synchronous motor, and has higher precision control effect.
2021, 48(9):48-54.
DOI: 10.12177/emca.2021.082
Abstract:
Induction motors in elevator equipment usually use a soft starter with three-phase six anti-parallel thyristors as the driving device to achieve soft start of the motor and to reduce energy consumption. Under the forced commutation of the thyristor, the stator voltage and current produce certain amounts of harmonics, which bring losses to the motor and even affect the operation of the elevator. Aiming at this problem, taking the thyristor-driven induction motor system as the research object, the circuit mathematical model of this object is established, the variable voltage constant frequency (VVCF) mode is adopted, the harmonic spectrum characteristics of each order are calculated, and a new compensation control law is designed. The calculation results and compensation results are verified by computer simulation, and the experiment proves that this method is effective.
Induction motors in elevator equipment usually use a soft starter with three-phase six anti-parallel thyristors as the driving device to achieve soft start of the motor and to reduce energy consumption. Under the forced commutation of the thyristor, the stator voltage and current produce certain amounts of harmonics, which bring losses to the motor and even affect the operation of the elevator. Aiming at this problem, taking the thyristor-driven induction motor system as the research object, the circuit mathematical model of this object is established, the variable voltage constant frequency (VVCF) mode is adopted, the harmonic spectrum characteristics of each order are calculated, and a new compensation control law is designed. The calculation results and compensation results are verified by computer simulation, and the experiment proves that this method is effective.
2021, 48(9):55-61.
DOI: 10.12177/emca.2021.083
Abstract:
Due to the space limitation of the working place, the interior permanent magnet synchronous motor(IPMSM) for compressors has higher requirements on the power density and its temperature rise has become an urgent problem to be solved. Taking a 7.5 kW IPMSM as an example, the axial ventilation cooling structure is designed and analyzed based on computational fluid dynamics(CFD) and fluid-solid coupling heat transfer theory.The fluid flow characteristics inside the motor are analyzed under the condition that the casing has ventilation slots and the rotor is installed with wafters and ventilation vents. The influence of the number of air inlets on fluid flow is studied. The temperature rise distribution of each part of the motor is obtained. The effects of wafters and number of air inlets on the heat dissipation of the motor are compared. Finally, a 12-pole 54-slot axial ventilation IPMSM is manufactured, and the effectiveness of this cooling structure is verified by the experimental data of prototype.
Due to the space limitation of the working place, the interior permanent magnet synchronous motor(IPMSM) for compressors has higher requirements on the power density and its temperature rise has become an urgent problem to be solved. Taking a 7.5 kW IPMSM as an example, the axial ventilation cooling structure is designed and analyzed based on computational fluid dynamics(CFD) and fluid-solid coupling heat transfer theory.The fluid flow characteristics inside the motor are analyzed under the condition that the casing has ventilation slots and the rotor is installed with wafters and ventilation vents. The influence of the number of air inlets on fluid flow is studied. The temperature rise distribution of each part of the motor is obtained. The effects of wafters and number of air inlets on the heat dissipation of the motor are compared. Finally, a 12-pole 54-slot axial ventilation IPMSM is manufactured, and the effectiveness of this cooling structure is verified by the experimental data of prototype.
2021, 48(9):62-66,80.
DOI: 10.12177/emca.2021.080
Abstract:
The electromagnetic noises of traditional submersible induction motor and a new type of submersible permanent magnet assisted synchronous reluctance motor (PMASRM) with higher efficiency are analyzed and compared by using multi-physical-field-coupling finite element analysis. In the electromagnetic field finite element software, the results of air-gap flux density and radial electromagnetic force wave are decomposed by 2D Fourier transform, and the space-time characteristics of air-gap magnetic field and radial force wave are analyzed. The spatial order of air-gap flux density harmonics generated by the rotor PMASRM is higher, and the order of radial electromagnetic force wave is also higher, which can lower the level of electromagnetic noise. The acoustic simulation results verify the conclusion.
The electromagnetic noises of traditional submersible induction motor and a new type of submersible permanent magnet assisted synchronous reluctance motor (PMASRM) with higher efficiency are analyzed and compared by using multi-physical-field-coupling finite element analysis. In the electromagnetic field finite element software, the results of air-gap flux density and radial electromagnetic force wave are decomposed by 2D Fourier transform, and the space-time characteristics of air-gap magnetic field and radial force wave are analyzed. The spatial order of air-gap flux density harmonics generated by the rotor PMASRM is higher, and the order of radial electromagnetic force wave is also higher, which can lower the level of electromagnetic noise. The acoustic simulation results verify the conclusion.
2021, 48(9):67-71.
DOI: 10.12177/emca.2021.081
Abstract:
In order to meet the requirements of accurate estimation of traction motor stator current for train traction drive system in the fields of traction motor condition monitoring, anomaly diagnosis and prediction, a real-time estimation method of traction motor current is proposed based on multi-condition least squares support vector machine (LS-SVM) model. Combined with traction motor parameters and the test measurement data of torque and speed, the stator current is estimated by using the traction motor mechanism model. Then, according to the train operation law, multiple operating conditions are considered. Based on the relevant variables of historical operation data, the LS-SVM estimation model of stator current under each working condition is established, and the influence of different operating conditions of traction motor on the accuracy of the model is studied, so as to realize the effective real-time estimation of traction motor current under all working conditions based on the multi-condition model. Finally, the effectiveness and feasibility of the proposed method are verified by the actual operation data.
In order to meet the requirements of accurate estimation of traction motor stator current for train traction drive system in the fields of traction motor condition monitoring, anomaly diagnosis and prediction, a real-time estimation method of traction motor current is proposed based on multi-condition least squares support vector machine (LS-SVM) model. Combined with traction motor parameters and the test measurement data of torque and speed, the stator current is estimated by using the traction motor mechanism model. Then, according to the train operation law, multiple operating conditions are considered. Based on the relevant variables of historical operation data, the LS-SVM estimation model of stator current under each working condition is established, and the influence of different operating conditions of traction motor on the accuracy of the model is studied, so as to realize the effective real-time estimation of traction motor current under all working conditions based on the multi-condition model. Finally, the effectiveness and feasibility of the proposed method are verified by the actual operation data.
2021, 48(9):72-80.
DOI: 10.12177/emca.2020.074
Abstract:
The permanent magnet linear force motor is one of the important components of the direct drive servo valve. Its driving force can cut the metal fragments entering the valve port to prevent the valve port from being blocked by them. Therefore, the accurate prediction of the driving force has extremely important research significance for designing the permanent magnet linear force motor. Firstly, a finite element simulation model of the permanent magnet linear force motor is established with ANSOFT, getting the driving force under the zero position and its limiting current. Secondly, the key structural parameters and their value ranges of the linear force motor are determined according to the optimization goal and constraint conditions. Then, the Latin hypercube algorithm based on the maximum and minimum distance criterion is used to sample data in a muti-dimensional space. Finally, a deep neural network model with a conversion layer is proposed. The conversion layer extracts 100 parameters from motor model, so that deep neural network can combine new high-dimensional features from more features and improve its prediction accuracy. The prediction model of permanent magnet linear force motor driving force used by actuator with PReLU and SmoothL1Loss is established. The comparison with traditional prediction models of both Kriging and RBF proves the effectiveness and accuracy of the new model.
The permanent magnet linear force motor is one of the important components of the direct drive servo valve. Its driving force can cut the metal fragments entering the valve port to prevent the valve port from being blocked by them. Therefore, the accurate prediction of the driving force has extremely important research significance for designing the permanent magnet linear force motor. Firstly, a finite element simulation model of the permanent magnet linear force motor is established with ANSOFT, getting the driving force under the zero position and its limiting current. Secondly, the key structural parameters and their value ranges of the linear force motor are determined according to the optimization goal and constraint conditions. Then, the Latin hypercube algorithm based on the maximum and minimum distance criterion is used to sample data in a muti-dimensional space. Finally, a deep neural network model with a conversion layer is proposed. The conversion layer extracts 100 parameters from motor model, so that deep neural network can combine new high-dimensional features from more features and improve its prediction accuracy. The prediction model of permanent magnet linear force motor driving force used by actuator with PReLU and SmoothL1Loss is established. The comparison with traditional prediction models of both Kriging and RBF proves the effectiveness and accuracy of the new model.
2021, 48(9):81-89.
DOI: 10.12177/emca.2021.078
Abstract:
The Sum of Squares robust control approach (SOSRCA) is applied to the excitation and steam-valving coordinated control system with uncertain disturbance. The SOSRCA model of the control system is built. The control strategy fully considers the uncertain parameters and interferences existing in the control system, and the robust performance of the generator set system is good. The solution process of the control strategy is algorithmic and programmatic, which simplifies the design process and reduce the complexity of control. The simulation model test of the SOSRCA law is carried out in a three-machine power system. The result verifies its effectiveness and superiority.
The Sum of Squares robust control approach (SOSRCA) is applied to the excitation and steam-valving coordinated control system with uncertain disturbance. The SOSRCA model of the control system is built. The control strategy fully considers the uncertain parameters and interferences existing in the control system, and the robust performance of the generator set system is good. The solution process of the control strategy is algorithmic and programmatic, which simplifies the design process and reduce the complexity of control. The simulation model test of the SOSRCA law is carried out in a three-machine power system. The result verifies its effectiveness and superiority.
14 Research on Off-Grid/On-Grid Switching Control Strategy of Virtual Synchronous Generator Without PLL
2021, 48(9):90-95.
DOI: 10.12177/emca.2021.072
Abstract:
Aiming at the problems of current shock, voltage distortion and power shock during microgrid connection, a switching control strategy of virtual synchronous generator (VSG) without phase-locked loop (PLL) is proposed. The control model of VSG is established. In the switching process, a pre-synchronization control unit without PLL is designed. The influence of PLL on system control precision and response speed is avoided. In addition, the control algorithm is simplified, the time of pre-synchronization is shortened, and the process of switching is accelerated. At the same time, to avoid the influence of the jump of Δθ during the control process, the angular frequency difference is directly fed back to the power loop. The integral anti-saturation link is also introduced to accelerate the adjustment and recovery process. Finally, the feasibility of the proposed control strategy is verified by simulation.
Aiming at the problems of current shock, voltage distortion and power shock during microgrid connection, a switching control strategy of virtual synchronous generator (VSG) without phase-locked loop (PLL) is proposed. The control model of VSG is established. In the switching process, a pre-synchronization control unit without PLL is designed. The influence of PLL on system control precision and response speed is avoided. In addition, the control algorithm is simplified, the time of pre-synchronization is shortened, and the process of switching is accelerated. At the same time, to avoid the influence of the jump of Δθ during the control process, the angular frequency difference is directly fed back to the power loop. The integral anti-saturation link is also introduced to accelerate the adjustment and recovery process. Finally, the feasibility of the proposed control strategy is verified by simulation.
2021, 48(9):96-102.
DOI: 10.12177/emca.2021.073
Abstract:
Based on the new European driving cycle, a new optimization method is proposed to reduce the iron loss of the permanent magnet synchronous motor (PMSM) in the medium and high speed working range. A PMSM for new energy vehicle drive with a rated power of 35 kW is taken as the object. Firstly, considering motor cost and processing difficulty, auxiliary slots on the rotor are used to optimize the iron loss of the motor. Then, through the comparison of the harmonic contents of the air gap magnetic density under different working conditions and the observation of the magnetic density trajectory at the characteristic points of the stator, the effect of high-speed magnetic field distortion on the iron loss is fully analyzed. Furthermore, to reduce the motor iron loss, reasonable slots are designed, which can effectively cut down the air gap magnetic density harmonics, reduce eddy current loss, and optimize the iron loss density at the tooth tip. After optimization, the measured motor iron loss is reduced by up to 16%. Finally, load experiment illustrates that the proposed optimization method can achieve better performance.
Based on the new European driving cycle, a new optimization method is proposed to reduce the iron loss of the permanent magnet synchronous motor (PMSM) in the medium and high speed working range. A PMSM for new energy vehicle drive with a rated power of 35 kW is taken as the object. Firstly, considering motor cost and processing difficulty, auxiliary slots on the rotor are used to optimize the iron loss of the motor. Then, through the comparison of the harmonic contents of the air gap magnetic density under different working conditions and the observation of the magnetic density trajectory at the characteristic points of the stator, the effect of high-speed magnetic field distortion on the iron loss is fully analyzed. Furthermore, to reduce the motor iron loss, reasonable slots are designed, which can effectively cut down the air gap magnetic density harmonics, reduce eddy current loss, and optimize the iron loss density at the tooth tip. After optimization, the measured motor iron loss is reduced by up to 16%. Finally, load experiment illustrates that the proposed optimization method can achieve better performance.
2021, 48(9):103-109.
DOI: 10.12177/emca.2021.085
Abstract:
In order to obtain the noise characteristics of permanent magnet synchronous motor (PMSM) of a metro vehicle, the electromagnetic force wave theory analysis and vibration noise test of PMSM are carried out. The noise characteristics under different test conditions and speeds are analyzed from A-weighted sound pressure level, 1/3 octave and chromatogram. The results show that the noise of PMSM is mainly caused by electromagnetic vibration, the main frequency components of acceleration process are 48th, 56th and 104th order components, and the modulation components centered at the switching frequency and its harmonics. In the deceleration process, there is no switching frequency effect, while the other components are the same as those in the acceleration process. There are local modes at 316 Hz, 440 Hz and 910 Hz, which are easy to cause resonance. Vibration and noise test and characteristic analysis can provide guidance for the application of PMSM.
In order to obtain the noise characteristics of permanent magnet synchronous motor (PMSM) of a metro vehicle, the electromagnetic force wave theory analysis and vibration noise test of PMSM are carried out. The noise characteristics under different test conditions and speeds are analyzed from A-weighted sound pressure level, 1/3 octave and chromatogram. The results show that the noise of PMSM is mainly caused by electromagnetic vibration, the main frequency components of acceleration process are 48th, 56th and 104th order components, and the modulation components centered at the switching frequency and its harmonics. In the deceleration process, there is no switching frequency effect, while the other components are the same as those in the acceleration process. There are local modes at 316 Hz, 440 Hz and 910 Hz, which are easy to cause resonance. Vibration and noise test and characteristic analysis can provide guidance for the application of PMSM.
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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.
