Optimal tuning of Fractional order proportional integral Derivative fopid controller in time delay System using different strategies

Abstract

Nowadays, a different engineering system such as chemical newlineand biological process involves time delay system (TDS). Many newlineresearches are taken place and investigated the importance of time delay newlinesystem in dynamical system which causes instability in system and newlineaffect the performance of the main system. To overcome these newlinelimitations, in this thesis proposed different strategies for optimal tuning newlineof FOPID controller in time delay system. At first, hybrid iterative newlinealgorithm and curve fitting technique is proposed for the tuning time newlinedelay system with PID controller. The curve fitting technique newlinecoefficients are determined by the iterative technique. Using curve newlinefitting technique time delay system is tuned and the stability parameters newlineof the system are maintained. Finally the proposed hybrid iterative newlinealgorithm and curve fitting technique is implemented in MATLAB newlineworking platform and the tuning performance is evaluated. Second, newlinehybrid ant lion optimizer (ALO) and artificial neural network (ANN) is newlineproposed for obtains the high efficiency and maintain the gain parameter newlineof PID controller time delay system. Third, proposed ACORDF newlineapproach is proposed for tune the FOPID controller. ACORDF is the newlinejoint implementation of Advanced Cuttlefish Optimization algorithm newline(ACFO) and Random Decision Forest Algorithm (RDFA). In newlineestablished technology, FOPID controller adjusted by reach a preferred newlineresponse that is demonstrated employing RDFA theory as well as RDFA newlineweight matrices are anticipated to help of ACFO method. Objective of newlineproposed approach is set the parameter at set point as well as achieved newlinetime delay parameter system. Finally the proposed hybrid approach is newlineimplemented in MATLAB working platform and the tuning newlineix newlineperformance is evaluated. Finally, proposed the NOARBFN approach newlinewhich is the combination of Northern Bald Ibis Optimization Algorithm newline(NOA) and Radial Basis Function Neural Network (RBFNN). The state newlinefeedback gain of FOPID controller for time delay system is designed by newlinethe proposed approach.