Application of a novel synergetic observer for PMSM in electrical vehicle

This work aims to design a simple and powerful optimal observer for electric vehicles (EV) propelled by permanent magnet synchronous motor (PMSM) using synergetic theory. The development of suggested synergetic observer (SynO) based on the selected two manifolds of the back-EMF method which are the special merit of SynO is insensible of parametric and nonparametric deviations. The system is modeled by using small signal method with 99.35% accuracy. Moreover, to optimize the coefficients of observers, the bat algorithm optimization is executed in this work. The proposed SynO are compared with SMO by experimental tests on 0.4 kW, 3-phase PMSM using a TI F28335 digital signal processor board considering various dynamic operating conditions. The experimental results reveal that the performance of optimal SynO for accurate speed estimation of EV are better than the SMO, as well as good robustness against measurement noise, and reduced the chattering phenomena.