OPTIMIZATION OF PID CONTROLLER OF HIGHLY NONLINEAR COMPLEX SYSTEM USING TAGUCHI MPSO METHOD

In many chemical and petrochemical processes plant having multiple input para and multiple output para for different processes. This research mainly focuses on searching the optimal controller structure by increasing the controllers’ performance criteria. It is very difficult to control the highly nonlinear quadruple four tank system. It is always challenging due to the cross coupling effect of highly interacting system to stabilize and control of the mimo system. It is still a very big issue for control of nonlinear system. The Proposed algorithm for tuning of PID constant based on the new statically approach combined with soft computing techniques. One of the optimization of Stastical Taguchi method is to combine with mutation based particle swarm optimization hybrid algorithm tune the PID parameter. This tuning parameter optimized performance index of the nonlinear system. The tuning parameters of controller find optimal performance indices. It is computer based nonlinear system for performance analysis and check validation of proposed TMPSO algorithm. Laboratory is set up to communicate with MATLAB, LABVIEW and other controller platform. With the help of LABVIEW, implementation of proposed algorithm and output of the proposed algorithm validate with quadruple four tank laboratory set-up for testing. Check the performance indices based on the PID parameter tuning with proposed TMPSO algorithm and improve the response of different performance index for the experiment setup quadruple tank nonlinear system.