Observer-based differential algebraic neural network nonlinear control of PM synchronous motor

The mathematical model of the PMSM with nonlinear field and friction is presented, the model of the PMSM is linearized by the differential algebraic strategy, neural network is approximated nonlinear function and external disturbance, then forward and feedback control is made position close loop. The current and velocity are observed using the nonlinear high-gain observers. The stability of the controller-observer system, which is composed of controllers and observers, is verified by the Lyapunov theory. Simulation studies are done to demonstrate the effectiveness of the proposed control strategy.