Adaptive Deadbeat Predictive Control for PMSM based Electric Vehicle

This article proposes an adaptive deadbeat predictive control (ADPC) for permanent-magnet synchronous motor (PMSM) included in a solar powered electric vehicle. In fact, due to magnetic saturation, material aging or temperature rise, there may be mismatches between actual parameters and their nominal values. Affected parameters are essentially stator inductance, permanent-magnet flux-linkage and stator resistance. In this paper, parameter mismatches effects on the stability of the system are theoretically analyzed. Moreover, an adaptive control is proposed to reduce the influence of the stator resistance variation. Its principle is based on the real-time control adaptation by the continuous estimation of the resistance value, considering the actual winding temperature value. Proposed approach is developed on MATLAB Simulink environment. Simulation results prove that the suggested control effectively reduces the stator resistance sensitivity and thus enhance the control robustness.

I. Introduction

Nowadays, the expansion and the use of electric vehicles (EVs) are on the rise [1]. This is due to the global pressure to reduce carbon emissions and fossil fuel consumption in addition to the rapid evolution towards a sustainable energy alternative especially for transport sectors. Furthermore, thanks to the significant progress of photovoltaic technology, EVs have integrated PV modules in order to exploit inexhaustible and clean energy source. The resulting solar-powered electric vehicles (SEVs) allow decreasing transport costs as well as saving the environment by making it possible to achieve "zero pollution".