Controlling a nonlinear servo hydraulic system using PID controller with a genetic algorithm tool

Abstract EN

The purpose of this paper is to present the modeling and simulation of a servo hydraulic system.

Hydraulic systems are broadly used in the industry due to their ability to adapt to a wide range of purposes and their proven robustness.

First we develop a mathematical model to obtain the system responses.

These responses represent the response of the servo hydraulic system with a sinusoidal input.

Secondly, we design a PID controller in order to improve the position transient response and reach minimum steady state error in the output displacement.

Then, we use Genetic Algorithm technique to find the best (KP, KI and KD) gains for PID controller to enhance the output of the servo hydraulic system.

The results have showed a higher improvement of the servo hydraulic system response with minimizing the steady state error after using the PID controller gains obtained from the Genetic Algorithm technique.