Position and Speed Estimation of Syn-Rel Motor Drive employing Sliding Mode Observer for Solar Assisted Electric Vehicle

Position and speed estimation of Syn-Rel motor drive employing sliding mode observer for solar assisted electric vehicle is presented in this work. e -QPLL algorithm with sliding mode observer is used to estimate position with flux linkage and back EMF estimation, which makes the sensor less control a robust one as compared to the conventional observer and other estimation techniques which suffers from singularity problems and low-speed performance. The battery provides adequate power to the motor, while solar-PV power is used to boost the battery during vehicle dynamics and to charge the battery. Maximum electrical power from the solar-PV panels is extracted using SEPIC DC-DC converter with incremental conductance (InC) technique. A Syn-Rel motor-based electric vehicle with speed sensor-less control approach is validated in MATLAB/Simulink software. The vehicle’s dynamics and motor drive capability are also illustrated in detail.