Optimal tuning of FOPID controller for higher order process using hybrid approach

This paper proposes an optimal tuning of fractional order proportional integral derivative (FOPID) controller for higher order process using hybrid approach. The proposed hybrid approach is the joint execution of Dynamic Differential Annealed Optimization (DDAO) and Feedback Artificial tree (FAT) algorithm, hence it is named D2AOFAT approach. The FOPID controller parameters like kp, ki, kd, λ andμ. The FOPID controller parameters errors are minimized and predict the optimal parameters by the FAT algorithm. Based on FOPID controller parameters using FAT algorithm, the DDAO optimizes the FOPID controller parameters. The FOPID controller advantage is adjusted to accomplish that needed responses that are resolute with FAT theory and RDF parameters are predictable using DDAO technique. The purpose of the proposed control system is selected in light of the achieved parameters of time delay system (TDS). The proposed technique is carried out in MATLAB / Simulink, its performance is compared to the existing techniques, like Ziegler-Nichols fit, Curve Fit, Wang method, and IWLQR method.