Robust PID Tuning of Heat Exchanger System using Swarm Optimization Method
Sapna Gupta1, Rajeev Gupta2
1Sapna Gupta, Department of Electronics Engineering, University College of Engineering, Rajasthan Technical University, Rajasthan, India.
2Rajeev Gupta, Department of Electronics Engineering, University College of Engineering, Rajasthan Technical University, Rajasthan, India.
Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 90-94 | Volume-3 Issue-1, March 2014 | Retrieval Number: A1009033114/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Though there are numerous tuning methods available for PID controller, most of the time the controller is tuned using trial and error method. The trial and error based tuning of PID controller leads to deterioration in control performance. One of the solution of trial and error based tuning is to either find the optimal tuning parameters using any of the tuning rule or find the optimal tuning parameters using any of the optimization algorithms. There are several evolutionary and swarm intelligence based optimization techniques available in literature. This paper finds the optimal tuning parameter using particle swarm optimization (PSO) and implements the results in a heat exchanger control problem to validate the results.
Keywords: PID controller, Particle swam optimization, Swarm Optimization, Tuning
Scope of the Article: Swarm Intelligence