Call For Paper Volume:4 Issue:8 Aug'2017 |

Pareto Optimal Solution for PID Controller by Multi-Objective GA

Publication Date : 19/05/2015

Author(s) :

ABHISHEK TRIPATHI , Rameshwar Singh .

Volume/Issue :
Volume 2
Issue 5
(05 - 2015)

Abstract :

PID controllers designing is reaching to its optimal tuning state and there are so many hybrid system present for tuning and optimizing of the PID controller parameters. In this paper we are going to propose a dominant pole placement techniques for the state space system. By using the Genetic algorithm we can find the value of the feedback gain directly with the information of the transient response unlike in traditional approach where we finds the pole location at first place. In this paper we tested Genetic algorithm with the traditional parameters for the transient response like MSE, ITAE and also two objective and tree objective Fitness functions. The multi-objective fitness function is actually designed to give the Pareto optimal solution between the contradicting Parameters. We found much more satisfactory pole location and feedback gain with three objective fitness function as compared to the single objective and two objective fitness function.

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Pareto Optimal Solution for PID Controller by Multi-Objective GA

May 15, 2015