Iterative learning control on PMSM based on input and error compensation

SHI Wei-min1， LU Feng-yu1， SHEN Jia-hai2
（1. School of Machinery and Automatic Control， Zhejiang Sci-Tech University， Hangzhou 310018，China；
2. Haining Textile Machinery Factory， Haining 314400， China）

Abstract： Aiming at the disturbance of the permanent magnet synchronous motor（PMSM） during running，on the basis of analysis of the mathematical model of PMSM，the simulation model was established by using vector control methods under Matlab/Simulink environment. Input and error compensation based on iterative learning control（ILC）was introduced. Error could be compensated and forecasted in advance utilizing previous error information and error change trend. Finally， the whole control system was simulated. The simulation results show that compared with the traditional PI control，disturbance rejection effect of proposed method is more obvious，which demonstrates that iterative learning control can restrain interference and improve system performance.
Key words： permanent magnet synchronous motor（PMSM）； iterative learning control（ILC）； input and error compensation