Title :
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system
Author :
Andromeda, Trias ; Yahya, Azli ; Khamis, Nor Hisham Haji ; Baharom, Ameruddin ; Rahim, Muhammad Arif Abdul
Author_Institution :
Fac. of Electr. Eng., UTM, Skudai, Malaysia
Abstract :
Electrical Discharge Machining (EDM) is included in a stochastic process. So maintaining gap between electrode and workpiece is not easy. In order to control the gap, a proportional integral derivative (PID) controller is designed for EDM servo actuator system. The main goal of this work is to get PID parameters through Particle Swarm Optimization (PSO) algorithm to ensure a stable, robust and controlled system. The controller and the model for EDM die sinking are verified by simulation of the control system using MATLAB and simulink program. Simulation results verify the effectiveness of the PID controller in which its parameter determined by PSO to control the electrode position towards workpiece.
Keywords :
electrical discharge machining; particle swarm optimisation; servomechanisms; stochastic processes; three-term control; EDM servo actuator system; MATLAB; PID controller tuning; electrical discharge machining; particle swarm optimization; proportional integral derivative controller; servo control system; simulink program; stochastic process; Discharges (electric); Electrodes; Machining; PD control; Process control; Tuning; Controller Tuning; Electrical Discharge Machining (EDM); Particle Swarm Optimization (PSO); Proportional Integral Derivative (PID); Servo Control System;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
DOI :
10.1109/ICIAS.2012.6306157