Design of fractional order PID controller for higher order time delay system using NOARBFN technique

This manuscript proposes an optimum design based state feedback gain of fractional order proportional integral derivative (FOPID) controller for time delay system (TDS). The proposed optimum design is the consolidation of Northern Bald ibis optimization algorithm (NOA) and Radial Basis Function Neural Network (RBFNN) controller, hence it is called NOARBFN. Here, the three tuning parameters (K-P, Ki,Kd) consists of two additional tuning parameters like lambda and mu is considered. NOARBFN is utilized for tuning 3 controller parameters, moreover detect the optimum values of lambda as well as mu. The individuality of NOARBFN technique is the faults of FOPID controller in higher order TDS that is minimized with the help of controller's incremental limitations. The objective of NOARBFN technique is to consider the set point parameters and accomplished parameters from TDS. The proposed NOARBFN method is utilized to mitigate high-order delays and reliable constraints like small over runs, time resolution, fixed state defect. The proposed method is executed in MATLAB/Simulink site and the performance is analyzed with other existing methods.