DSP Real-Time Implementation of an Optimized Steady State DFIM Control for Electric Vehicles

The choice of traction motor for the propulsion system is crucial in their design. In order to contribute to the actual research applied to electric vehicle powertrains field, this paper focuses on Doubly-Fed Induction Machines (DFIM) in traction systems. The theoretical study examines the DFIM’s steady-state features and performances based on the d-q reference model. Hence, an optimized control for an accurate rotor voltage amplitude and angle adjusting in steady state is proposed. The obtained reference voltages will be injected into a Voltage Source Inverters (VSI) in both stator and rotor sides, which are controlled through a Space Vector Pulse Width Modulation (SVPWM) technique. The overall of optimized control scheme has been implemented in real-time on a Digital Signal Processor (DSP) and has been experimentally tested on a laboratory prototype designed around two variable speed drives that feed a DFIM. The obtained results show that by properly determining the rotor voltage, the DFIM can operate optimally in a wide range of speed variations.