Improved Sliding Mode Observer based Position Sensorless Finite Control Set-Model Predictive Control of PMSM Drive for Electric Vehicle

An improved sliding mode observer (SMO) based position sensorless finite control set-model predictive control (FCS-MPC) of a surface mounted permanent magnet synchronous motor (SPMSM) drive for electric vehicle (EV), is proposed in this paper. An enhanced quadrature phase locked loop (eQPLL) is utilized to obtain the speed and position of the PMSM from the estimated back-EMF from the SMO, which makes the controller robust and accurate compared to the conventional SMO. FCS-MPC is a simple predictive current control technique that provides optimal switching pulses directly to the inverter, without the need for modulators and avoids PI controllers. The proposed control algorithm is simulated using MATLAB Simulink and its performance is experimentally validated using in the laboratory testbed setup using user programmable FPGA based MicroLabBox dSPACE (ds1202) controller.