A State Feedback Controller for PMSMs Based on Penalty Term Augmented Seeker Optimization Algorithm

This paper presents the design of a state feedback controller (SFC) for permanent-magnet synchronous motor (PMSM) drive. First, two integrals, the integral of rotor speed error and d-axis current error are added into the discretized state space model of PMSM to eliminate steady-state error in speed and id. Then, the seeker optimization algorithm (SOA) is employed to get the parameters of the proposed SFC. Also, in order to avoid overshoots in speed tracking, a penalty term is added to the fitness function. Finally, the SOA based SFC with and without the penalty term are compared in experiments.