RBFPI_STASMRC Control Strategy for SPIM Drives in Electric Vehicle Applications

Electric vehicle (EV) drive systems demand control strategies with fast torque response, strong disturbance rejection, and reliable real-time operation; however, conventional schemes often degrade under dynamic operating conditions. To address these limitations, this paper applies an intelligent adaptive hybrid control structure to the field-oriented control (FOC) of a six-phase induction motor (SPIM) for EV traction drive applications. The main research contribution of this work is twofold. First, an adaptive RBF neural-network-tuned PI controller in the outer speed loop is integrated with a Super-Twisting Sliding Mode controller augmented by a plug-in Repetitive Controller (STSM-RC) in the inner current loop, enabling mitigation of inter-loop coupling effects, harmonic current components, and robustness degradation under uncertainties. Second, the proposed hybrid control architecture is systematically applied and evaluated in an EV-oriented context, providing performance insights under dynamic loading and real-time execution constraints not explicitly addressed in prior SPIM control studies. The STSM-RC current controller ensures finite-time convergence, robust current regulation