Research Specifications

Today, owing to the diminishing energy sources, ever-increasing consumption of fossil fuels and the ensuing environmental pollution, all major industrialized and developing countries highly dedicated to employing state-of-the-art technology and sciences to reduce fossil fuel consumption and air pollution with the purpose alleviating the damage inflicted on the environment. Therefore, designing and selecting the appropriate motor and subsequently using modern control methods for optimizing and developing electric vehicles is of paramount importance. In this study, a permanent magnet synchronous motor (PMSM) with Model-Reference Adaptive System (MRAS) was used as the driving force of electric vehicles. MRAS method is used to reduce the adverse effects of parameter change in speed control of sensor-less PMSM motors based on feed forward voltage estimation (FFVE). The results from simulation in the Simulink environment of MATLAB indicate that the proposed sensor-less method has very good stability at low speeds compared to current conventional methods, such as sliding-mode observer (SMO), under changing parameters