Anti-Interference Sliding Mode Control of PMSM Based on Improved Salp Swarm Algorithm

Aiming at the problem that the control performance of permanent magnet synchronous motor is easily affected by load disturbance during operation, a fractional-order sliding mode control method combining fractal-order sliding mode controller (FOSMC) and fractional-order sliding mode load torque observer (FOSMO) is proposed. The parameters of this method are tuned using the improved salp swarm algorithm (ISSA). Initially, the fractional-order sliding mode controller is designed by applying fractional-order calculus theory to enhance the system's response speed. Subsequently, a fractional-order sliding mode load torque observer is developed to improve the system's anti-interference capability and robustness due to the slow response and low identification accuracy of traditional load torque observers. Lastly, the control parameters are self-tuned using the improved salp swarm algorithm due to the difficulty of adjusting them manually. Simulation and experimental results demonstrate that the proposed control method exhibits good convergence, no overshoot, minimal buffeting, and strong robustness against uncertain factors like load disturbances. (c) 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.