Adaptive model following speed control method of permanent magnet synchronous motor

Author(s):  
Xu Dong ◽  
Wang Tianmiao ◽  
Wei Hongxing ◽  
Liu Jingmeng
2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881527 ◽  
Author(s):  
Xudong Liu ◽  
Ke Li

A novel speed control method based on sliding mode control and disturbance observer is studied for permanent magnet synchronous motor drives. Different from the conventional speed and current cascade control structure in the field-oriented vector control, the new controller adopts the single-loop control structure, in which the speed and quadrate axes current controllers are combined together. First, a multiple-surface sliding mode controller is designed for the speed control system of permanent magnet synchronous motor. Although the sliding mode controller has the strong robustness for the matched disturbance in the system, it still cannot deal with mismatched disturbance effectively, such as external load disturbance and some parameter variations. Thus, the disturbance observer is introduced to estimate the disturbance in the motor, which is designed by combining the proposed sliding mode controller. Finally, the effectiveness is tested under various conditions by both simulation and experiment. The results show that the designed controller has the fast transient response and robustness under different operating conditions.


2013 ◽  
Vol 303-306 ◽  
pp. 1204-1208 ◽  
Author(s):  
Bing Li ◽  
Yue Zhen Feng

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.


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