2026 Volume 23 Issue 9 Pages 20250391
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 s response, and reducing chattering. Simulations validate the method.
