Design and analysis of an adaptive gauss-based fractional order pid controller for avr system

In this thesis, a new control method, Gaussian-based PID (GPID) and Gaussian-based fractional order PID (GFOPID), are designed to improve the dynamic response and robustness of the AVR system. The jellyfish search algorithm (JS), a successful optimization algorithm, is used to optimize the parameters of GPID and the proposed GFOPID control strategies. ZLG and ITAE objective functions are used in the optimization process of GPID and GFOPID controllers optimized by JS algorithm. The effectiveness of the JS-GPID and JS-GFOPID controllers in the AVR system is comprehensively evaluated through time domain, robustness, reference signal variation, disturbance load input and nonlinear analysis. The simulation results are compared with the recent PID studies in the literature. The proposed GFOPID controller is compared with the fractional order PID (FOPID) tuned using different meta-heuristic algorithms that have been widely accepted in recent years. As a result of this comparative analysis, the superiority of the JS-GFOPID control technique over other control techniques is verified. Simulation results show that the proposed JS-GFOPID control technique is highly successful in terms of stability and robustness.