Optimal and Stable Framework for Robust Field-Oriented Control of PMSM using Hybrid ALO-MRSO

This research presents a control method that combines ALO and MRSO to address the dynamic stability issue and optimal performance in permanent magnet synchronous motor (PMSM) drives. The combination of ALO-MRSO facilitates global optimization of controller parameters by efficiently exploring high-dimensional search spaces to provide asymptotic stability by confining system trajectories within specified boundaries. This hybrid optimization paradigm provides an advantage over conventional methods by not only ensuring the convergence of the optimization process to feasible solutions but also by enforcing closed-loop stability conditions. The framework is integrated within a field-oriented control (FOC) structure, in which the ALO-MRSO algorithm systematically optimizes each proportional-integral (PI) regulator within the cascade control loop. The results verified the improvements of the combined ALO-MRSO method in both transient and steady-state performance over the ALO or MRSO method based on MATLAB Simulink. The results of the optimized system achieve a rise time of 0.68 seconds, a minimal overshoot of 0.03%, and a settling time of 0.63 seconds. This paper establishes a systematic and theoretical basis for managing the exploration and exploitation balance in advanced electromechanical control of PMSM systems, enabling rapid dynamic response with exceptional stability. Therefore, a scalable approach for a robust controller design and optimal performance is achieved for a nonlinear dynamic system.