The Research of Adaptive Robust Predictive Current Control Algorithm of Permanent Magnet Synchronous Motors

Predictive current control algorithm which based on deadbeat theory is studied in this paper which can improve the current control performance of PMSM. In order to obtain high control effect, on-line access to accurate motor parameters such as fault diagnosis, condition monitoring is important in many areas, especially to improve the traditional deadbeat predictive current control algorithm sensitivity to inductance error, this paper presents an inductor-based parameter identification current predictive control algorithm of permanent magnet synchronous motor based on least mean square (LMS) theory. By Simulation the identified inductance will be feed back to the control model to improve the system tolerance of inductance error. A 0.75KW PMSM is involved to verify the performance of the proposed algorithm, then present and analyse the simulation and experiment results.