ISSN: 2277-9655 [Pithadiya* et al., 6(9): September, 2017] Impact Factor: 4.116 IC™ Value: 3.00 CODEN: IJESS7 http: // www.ijesrt.com © International Journal of Engineering Sciences & Research Technology [572] IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY PERFORMANCE INDEX BASED COMPARATIVE ANALYSIS USING PSO AND GA FOR HIGHLY NONLINEAR COMPLEX CONTROL SYSTEM Prof. Prakash M. Pithadiya *1 , Dr. Vipul A. Shah 2 , Prof. Mukesh. B. Hingu 3 *1 Instuementation and Control Government Engineering Collage Rajkot, Gujarat, India 2 Instrumentation and Control Department, Dharmashih Desai University, Nadiad, Gujarat, India 3 Instuementation and Control Government Engineering Collage Rajkot, Gujarat, India DOI: 10.5281/zenodo.996002 ABSTRACT In the various industry application research on the multivariable process in nature. Control and interaction problem are major issues in the MIMO process. In the MIMO has a problem to develop a new controller very um manageable because of the interaction and process dynamics with a change of process parameters. For a simulation of the recommended method using nonlinear System. Quadruple Tank System is highly complex nonlinear systems which utilized in minimizing interaction and try to control and make stabilized the nonlinear system. The objective of the research work to design the optimized the performance index based PSO and GA implemented in Quadruple Tank System. The proposed system testing and simulation in MATLAB recourses. In this technique gives better disturbance attenuation with the good performance index result. KEYWORDS: Nonlinear Quadruple Tank System, PSO, GA, Performance index. INTRODUCTION Nowadays increasing technological demands has the final result in a various complex process which to convert a high new development controller to the grantee that high quality and the best result is achieved and maintain under various changes in the parameter. There are specific requirement in control of a highly non linear complex system which conventional control cannot achieve desired performance for the various system area like, underwater vehicle, spacecraft, robotic, avionics, various chemical manufacture system which needs automatic operation and requests to help and are requirements to help for maintaining sufficient parameter level due to nonlinearity and equipment failure. For achieving the most effective degree of the performance, process system needs to have built in intelligence which is robust to change parameter variation or external and internal disturbance. Artificial intelligence is a technology that helps the intelligent controller to develop the compatibility of learning self- organizing online from the process response and the proper decision for control action to try for achieves desired performance. In the controller which has reasoning power, but it does not necessarily depend on the input to make a specific decision. In artificial intelligent control is mixing of a number of research areas like the fuzzy system, expert system machine learning, multi sensory fusion, failure diagnosis, control system theory, operation research, computer science, neural network. AI techniques that use various AI computing approaches like NN, PSO, Artificial Bee Colony, Genetic algorithms, bacteria forging various algorithms implemented for optimization of the controller parameter and assign into the class of intelligent control. This paper shows a design technique for the change the variable of PID controller and optimizers tune the PID constant using PSO and Genetic algorithms to improve the response of performance index. PSO and genetic algorithms implement the laboratory- based nonlinear system Quadruple Tank System ( Quadruple tank System ) MIMO system. To change the PID controller parameter on simulating in Matlab. Using the transfer function of the MIMO system of the QTS to minimize the value of the performance criteria. It will provide the controller with high disturbance rejection and minimize the various parameter related to the performance index (IATE, IAE)and reserved the robustness of Quadruple Tank System and minimize the effect of the interaction of the system. The ITAE is novel performance index used for complex nonlinear control system design. To