A Novel Sensor-Less Model Predictive Direct Torque Control for PMSM Using Sliding Mode and Adaptive Disturbance Observers

Sensor-less Model Predictive Direct Torque Control (MPDTC) scheme using a Sliding Mode Observer (SMO) for speed and electrical angle estimation and an Adaptive Disturbance Observer (ADO) for speed correction is presented in this paper. ADO and SMO are used with Space Vector Pulse Width Modulation (SVPWM) based Direct Torque Control Technique for improved accuracy. This proposed approach is implemented in MATLAB Simulink. Permanent Magnet Synchronous Motors (PMSMs) are widely used in electric vehicles and industrial applications because of their high efficiency and power density. The conventional Direct Torque Control (DTC) Technique is behind in high torque and high flux ripples. Model Predictive Direct Torque Control (MPDTC) helps to improve DTC by using optimal and constant switching frequency in real-time, thus decreasing ripples in Torque and Flux.