An Adaptive Resonant Estimator Assisted Closed Loop Observer for Speed Sensor-Less Control of Syn-Rel Motor for Electric Vehicles

An optimization of sensor count is a crucial aspect in implementation of synchronous reluctance (Syn-Rel) motor drive in electric vehicle (EV) propulsion system. This contributes to enhancing dependability and stability of system. However, achieving seamless operation of sensorless control over a complete driving range of speed remains a substantial challenge. This paper presents an adaptive resonant estimator (ARE) assisted sliding mode observer (SMO) with improved EMFs for wide range of speed control and drive speed and position are estimated with enhanced quadrature phase locked loop (e-QPLL) technique. In contrast to other methods, presented technique improves back EMF for complete driving range with minimal speed and position error. An augmentation in drive response to varying load demand is observed for all vehicle speed as a result of improved speed and position estimations. Analysis and validation of presented system are done in a comprehensive manner in MATLAB/Simulink. A detailed illustration of vehicle's dynamics and motor-driving capacity are also provided here.