Hybrid Gray Wolf Optimization–Proportional Integral Based Speed Controllers for Brush-Less DC Motor

For Brush-less DC motors to function better under various operating settings, such as constant load situations, variable loading and set speed controller design is essential. Conventional controllers including proportional integral controllers, frequently fall short of efficiency expectations this mostly because the characteristics a motor drive exhibit non linearity. This work proposes hybrid gray wolf optimization for management in address issue. conditions, varying situations proposed controller’s evaluated contrasted with that PID controller, PSO-PI ANFIS. In study, two PI are used get more stability system based on tuning their coefficients meta heuristic method. The simulation findings show Hybrid GWO-PI-based every way superior other consideration. four case studies presented, best-case study was obtained 0.18619, 0.01928, 0.00030, 0.01233 RMSE, IAE, ITAE, ISE respectively.