scholarly journals Tolerance-Insensitive Design of the Magnet Shape for a Surface Permanent Magnet Synchronous Motor

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1311
Author(s):  
Chung-Seong Lee ◽  
Kyoung-Soo Cha ◽  
Jin-Cheol Park ◽  
Myung-Seop Lim
Keyword(s):  
Permanent Magnet ◽  
Electric Power ◽  
Mass Production ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Electric Power Steering ◽  
Cogging Torque ◽  
Power Steering ◽  
Magnet Surface ◽  
Performance Robustness

Many studies have been conducted to reduce the cogging torque of electric power steering motors. However, in the mass production of such motors, it is essential to enhance performance robustness in relation to tolerances. For such motors, this work analyzes performance robustness in relation to tolerances by applying a cycloid curve to the surface magnet of the rotor. Applying a cycloid curve to the magnet surface of the rotor is one of several ways to reduce cogging torque. To evaluate the performance of the cycloid curve, we compare it with an eccentric curve. The two curves are compared for the same specifications and evaluated using the indicator, tolerance insensitivity rate, which is used to assess performance robustness in relation to tolerances. The cycloid curve was evaluated to be more robust in relation to tolerances, as compared with the eccentric curve. Finally, an experiment was conducted to validate the robustness of the cycloid curve.

The Permanent Magnet Synchronous Motor Sensorless Control of Electric Power Steering Based on Iterative Fifth-Order Cubature Kalman Filter

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Zhang Rongyun ◽  
Gong Changfu ◽  
Shi Peicheng ◽  
Zhao Linfeng ◽  
Zheng Changsheng ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Permanent Magnet ◽  
Electric Power ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Electric Power Steering ◽  
Power Steering ◽  
Cubature Kalman Filter ◽  
Fifth Order

Abstract A discrete mathematical model of a permanent magnet synchronous motor (PMSM) is established, then the fifth-order cubature Kalman filter (CKF) algorithm is introduced. A Gauss–Newton iterative method is introduced into the iterative process of the fifth-order CKF algorithm to generate the innovation variance and covariance. Therefore, an iterative fifth-order CKF algorithm is proposed as the basis of a PMSM sensorless control is implemented. Then, a PMSM sensorless control based on the iterative fifth-order CKF algorithm is applied to an electric power steering (EPS) system, whose control system is constructed by adopting the typical assist and return control strategy. Finally, to verify the performance of the proposed PMSM sensorless control method, the EPS system model of the PMSM sensorless control is built by using the common phase-locked loop (PLL), the CKF algorithm, the fifth-order CKF algorithm, and the proposed iterative fifth-order CKF algorithm. The simulation analyses and the experimental tests show that the proposed iterative fifth-order CKF algorithm can estimate the PMSM speed with good accuracy and has a strong resistance to disturbances in the load and speed. The assist and return performances of the EPS system are also improved.

scholarly journals Control of a Permanent Magnet Synchronous Motor in Simulink

2021 ◽  
Vol 15 (1) ◽  
pp. 43-47
Author(s):  
Mihály Katona ◽  
Péter Kiss
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Control Software ◽  
Electric Power Steering ◽  
Analog Input ◽  
Power Steering ◽  
Steer By Wire ◽  
The Mathematical Model ◽  
Output Interface

Abstract Nowadays, before the era of modern Steer-by-wire steering systems, the most widely used steering technology is Electric Power Steering (EPS). This paper contains the developing of a Permanent Magnet Synchronous Motor (PMSM) control circuit for EPS systems, in Matlab Simulink environment. The mathematical model of the Permanent Magnet Synchronous Motor was created via the four equations that represent the relation between the fluxes, voltages and currents in d-q reference frame and the motor torque equation. Mathematical transformations are required to generate the equivalent input values of the model from analog input waves. In this way, the embedded software is able to communicate with the motor through the analog input and output signals. The control model was also tested in a physically implemented system. The control software is executed on a dSpace AutoBox hardware. The output interface block creates the output phase voltages specified by the control module, and the input interface block allows the phase currents generated by the output voltage to be measured back.

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