Efficient Tuning of FOPID Controller using Jellyfish Search Optimization (JSO) Algorithm for DC motor speed control

This study describes the tuning of fractional order proportional integral derivative controller (FOPID) based on jellyfish search optimization (JSO) algorithm. The JSO algorithm is developed based on the oceanic jellyfish's life cycle and feeding habits. First, a design procedure for the FOPID controller was provided, which uses the ITAE objective function to regulate the speed of the DC motor. The performance of the suggested JSO-FOPID controller is then evaluated in comparison to the most advanced FOPID/PID controllers. The outcomes demonstrate the suggested algorithm's superiority with regard to steady-state error, rising time, overshoot, and settling time. The suggested controller step response curves were compared to those of the existing controllers. The frequency response JSO-FOPID controller was investigated using the bode plot analysis. Finally robust analysis is also carried out to investigate the parameter variations of the plant on controller response. The simulation results demonstrate the superior performance of the proposed JSO-FOPID controller over current methods.