A improved PMSM inverse control algorithm

In order to solve the uncertainty problem of parameter variations and load disturbance which effect on the system performance, a nonlinear adaptive inverse decoupling control based on disturbance suppression is presented for the PMSM drive system. The method combine adaptive control with nonlinear decoupling control, and the parameter variations and load disturbance are disturbance input. The state feedback adaptation law and parameter adaptation law designed by using Lyapunov theory guarantee the system convergence. The method ensure the asymptotic tracing based on L2 transient characteristics. Simulation and experimental results show that the the strategies presented greatly improving the dynamic performance of the system and the robustness and anti-disturbance performance are strengthened.