Optimization and Adaptive Sliding Mode Control of Permanent Magnet Reluctance Dual-Rotor Motor

To address rare-earth dependency in PMSMs and low torque density in synchronous reluctance motors, a permanent magnet reluctance dual-rotor motor is proposed. A collaborative genetic algorithm optimizes a 7.5 magnetic bias angle and the parameter scanning method is employed, reducing cogging torque by 90.8 and torque ripple by 11.1. A hierarchical control scheme uses hysteresis control for current loops, a torque distribution algorithm is introduced to address the coupling issue between the dual rotors, and adaptive sliding mode control for speed loops. The rotational speed overshoot is constrained within 2, achieving 0.05 response, and reducing chattering. Simulations validate the method.