A NOVEL NONLINEAR HYBRID CONTROL STRATEGY FOR ELECTRIC VEHICLE DRIVE SYSTEMS

Abstract

This paper proposes a novel nonlinear hybrid control strategy for a six-phase induction motor, developed for electric vehicle drivetrain applications. The proposed structure employs a Backstepping controller in the outer loop for speed regulation, while the inner loop (current control) utilizes a Second-Order Sliding Mode technique to enhance stability and tracking capability. The Super-Twisting Algorithm is integrated into both control loops to improve disturbance rejection and generate smoother control signals, mitigating chattering effects. This hybrid structure effectively addresses the nonlinear characteristics of the six-phase induction motor, ensuring fast convergence and high accuracy in speed tracking, optimal torque response. The proposed controller guarantees stable and reliable operation under various driving conditions. The effectiveness of the proposed control structure is validated through simulations in the Matlab/Simulink environment. Simulation results demonstrate that the proposed structure achieves fast dynamic response, highly accurate speed tracking with near-zero steady-state error, stable torque generation, and robust flux regulation under various electric vehicle driving conditions including improved ECE-40, ECE-15, and rapid acceleration/deceleration scenarios. The controller also shows strong robustness against parameter variations through real-time estimation of rotor resistance. The findings confirm that the proposed control strategy significantly improves dynamic stability and ensures reliable operation of six-phase induction motor based electric vehicle drivetrains. This work provides a feasible and effective solution for high-performance electric vehicle applications and offers a solid foundation for future hardware implementation.