Particle Swarm Optimized I-PD Controller for Second Order Time Delayed System
S. J. Suji Prasad1, Susan Varghese2, P. A. Balakrishnan3
1S. J. Suji Prasad, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India.
2Susan Varghese, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India.
3Dr. P. A. Balakrishnan, Dean(Academic and Research), KCG College of Technology, Chennai, India.
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 299-302 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0440022112 /2012©BEIESP
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© The Authors. Published By: 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: In this paper, I-PD controller is optimized using particle swarm intelligence for a Second Order Time Delayed System. Optimization is done on the basis of performance indices like settling time, rise time, peak overshoot, ISE (integral square error) and IAE (integral absolute error). In industrial processes, PID controllers and its variants are most preferred though there are significant developments in the control systems. If the parameter of controller is not properly designed, then desired control output may fail. The simulation results with optimized I-PD controller proved to be giving better performances compared with Ziegler Nichols and Arvanitis tuning.
Keywords: Proportional integral and derivative (PID); Proportional kick; Derivative kick; Settling time; Rise time and Tuning.