Speed Control of PMSM by Fuzzy Pi Controller with MPAC Algorithm

Speed control of permanent magnet synchronous motor (PMSM) by state feedback controller is proposed in this paper. This state feedback control system uses model predictive approach (MPAC) to constraints introduction in the control system. The posteriori constraints introduction in developed linear control system gives simple solution. This approach based on adding constraints to maintain state and control variables in specified ranges. This MPAC algorithm is relatively low computations compared to model predictive control (MPC). Based on voltage equation model of machine, the control signals and future state variables are calculated and this algorithm consists of zero d-axis current methodology. The state feedback control strategy results low dynamical performance, in order to increase the dynamical performance a new control strategy fuzzy PI control is used. By using this fuzzy PI controller with permanent magnet synchronous motor (PMSM), the steady state error of actual speed of system with respect to step changes of reference signal is reduced compared to state feedback controller. Simulation results of both control strategies are compared in MATLAB/SIMULINK environment.