PID controller tuning by particle swarm optimization on electrical discharge machining servo control system
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 P...
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my.utm.341762017-09-06T04:04:07Z http://eprints.utm.my/id/eprint/34176/ PID controller tuning by particle swarm optimization on electrical discharge machining servo control system Andromeda, Trias Yahya, Azli Haji Khamis, Nor Hisham Baharom, Ameruddin Abdul Rahim, Muhammad Arif 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. 2012 Conference or Workshop Item PeerReviewed Andromeda, Trias and Yahya, Azli and Haji Khamis, Nor Hisham and Baharom, Ameruddin and Abdul Rahim, Muhammad Arif (2012) PID controller tuning by particle swarm optimization on electrical discharge machining servo control system. In: The 4th International Conference on Intelligent and Advanced Systems (ICIAS 2012). |
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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. |
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Conference or Workshop Item |
author |
Andromeda, Trias Yahya, Azli Haji Khamis, Nor Hisham Baharom, Ameruddin Abdul Rahim, Muhammad Arif |
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Andromeda, Trias Yahya, Azli Haji Khamis, Nor Hisham Baharom, Ameruddin Abdul Rahim, Muhammad Arif PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
author_facet |
Andromeda, Trias Yahya, Azli Haji Khamis, Nor Hisham Baharom, Ameruddin Abdul Rahim, Muhammad Arif |
author_sort |
Andromeda, Trias |
title |
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
title_short |
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
title_full |
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
title_fullStr |
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
title_full_unstemmed |
PID controller tuning by particle swarm optimization on electrical discharge machining servo control system |
title_sort |
pid controller tuning by particle swarm optimization on electrical discharge machining servo control system |
publishDate |
2012 |
url |
http://eprints.utm.my/id/eprint/34176/ |
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