Model predictive control-based on Luenberger observer for stator excitation doubly salient synchronous motor

Aiming at the problem that the stator excitation doubly salient synchronous motor (SEDSSM) has poor dynamic performance when using traditional vector control strategy, the observer model is used instead of the actual model for model predictive control in this paper. The discrete prediction model of the SEDSSM, including disturbance, is propesed, and the Luenberger disturbance observer observes the disturbance. Thus, the Luenberger observer based finite-control-set model predictive controller (LO-FCS-MPC controller) is constructed. The current are restrained and controlled directly by the cost function. The experimental results show that the control strategy proposed in this paper has good compatibility with the research object of this paper—the stator excitation doubly salient synchronous motor. The decoupling of the d and q axis is better achieved, and the system's dynamic performance is improved.