PID Parameters Optimization Using Bacteria Foraging Algorithm and Particle Swarm Optimization Techniques for Electrohydraulic Servo Control System

Abstract

Electrohydraulic servo system has been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its stability. The PID parameters are optimized by using two techniques: the first is Particle Swarm Optimization (PSO) and the second is Bacteria Foraging Algorithm (BFA). The simulation results show that the steady-state error of system is eliminated; the rapidity is enhanced by Particle Swarm Optimization applied on Proportional Integral Derivative (PPID) and Bacteria Foraging Algorithm applied on Proportional Integral Derivative (BPID) controllers when the system parameter variation was happened, and has good performances using in real applications. A comparative study between PPID and BPID are described in the paper and the tradeoff between them.