Sensorless PMSM EV Drive using Modified Enhanced PLL Based Sliding Mode Observer

For the quick and accurate dynamic response of a sensorless drive system, proper estimation of position and speed is indispensable. A conventional sliding mode observer (SMO) based sensorless control has several limitations like undesired frequency swing during phase jump, spurious noise speed reversal issue. This paper presents an improved SMO based sensorless control and finite control set model predictive control (FCS-MPC) of permanent magnet synchronous motor (PMSM) EV drive with regenerative braking. An improved phase locked loop (PLL) with a modified control function is utilized to obtain position and speed. It provides a smooth startup and avoids transient in frequency and singularities issues. To avoid cascading linear controllers, a robust FCS-MPC is employed in this paper. It provides switching pulses directly to the switches of voltage source inverter (VSI), which avoids the use of modulators. The proposed sensorless control method for an electric vehicle (EV) application is simulated using Simulink and the effectiveness and compatibility of this control algorithm is verified.