Robust Control of SEDCM by Fuzzy-PSO

Industries have many rotational operations that are used for design, transport, lift, drilling, rolling, robotics, and other applications. These rotating applications require a proper controller accurate control of the operation. Separately excited DC motors (SEDCMs) versatile various industrial because their specific speed characteristics. So, smooth operation an SEDC motor, controllers should be used. PI PID in cases, but they ineffective nonlinear load A fuzzy is heuristic can provide automatic Its depends on selection correct membership values. This work proposes novel particle swarm optimization (PSO) technique would optimum value processes. To obtain results, MATLAB simulation was performed, with PSO implemented. motor obtains rise time 0.00026 s, settling 0.000214 maximum overshoot zero, delay 0.016 which best values when compared to PID-Fuzzy controllers. It observed results obtained from separately using improve dynamic behavior so it smoothly tracks required without any more or oscillation than controller. Such dynamic, stable makes perfect as well household operations.