Adaptive Nonlinear Control for Multiphase PM Synchronous Motor Drive System

The multiphase PM synchronous motor drive systems have been developed rapidly in modern industry and agriculture. In this paper, an adaptive nonlinear control design is applied to a multiphase PM synchronous motor system. Based on the deduced mathematic model with both electrical and mechanical dynamics of motor, the back stepping and fuzzy neural network control schemes are used to design the speed controller due to the nonlinear characteristics of multiphase motor drive. The proposed control scheme is proved with Lyapunov stability theory by recursive manner, and its effectiveness is verified by simulation results at different operating conditions. Compared to the conventional PI speed controller, the developed adaptive nonlinear speed controller is robust to the uncertainties.