Implementation on adaptive sliding mode position controller of permanent magnet linear synchronous motor

Sliding mode controller using a new adaptive algorithm is presented, which is utilized to estimate the uncertainty bounds for the position control of permanent magnet linear synchronous motor (PMLSM) drive system, so that the control effort is improved. Furthermore, space vector modulation (SVM) is adopted to decrease the vector deviation. Simulated and experimental results show that the proposed adaptive sliding mode position control scheme provides high-performance dynamic characteristics and strong robustness with regard to parameter variations and external load disturbances. Based on the TMS320F2812, the control system was built and the experience result is shown.