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

This research demonstrates a control method that combines ALO and MRSO optimization methods to tackle the issues of dynamic stability and optimal performance in permanent magnet synchronous motor (PMSM) drives. The combination of ALO-MRSO facilitates the global optimization of controller parameters through the efficient exploration of 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. These results highlight the ability to balance rapid dynamic response with exceptional stability. These results demonstrate an advancement in PMSM control, offering a systematic and theoretical basis for managing the exploration-exploitation balance in advanced electromechanical systems. Consequently, this methodology provides a scalable approach for a robust controller design and optimal performance for a nonlinear dynamic system.