The week's pick
Reseach Article
Artificial Immune System based PID Tuning for DC Servo Speed Control
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 155 - Number 2 |
| Year of Publication: 2016 |
| Authors: Muna Hadi Saleh, Saad Zaid Saad |
10.5120/ijca2016912265
|
Muna Hadi Saleh, Saad Zaid Saad . Artificial Immune System based PID Tuning for DC Servo Speed Control. International Journal of Computer Applications. 155, 2 ( Dec 2016), 23-26. DOI=10.5120/ijca2016912265
Abstract
In this paper, the application of the Artificial Immune System (AIS) algorithm for optimization problems is presented, DC Servo Motor (DCSM) speed control was taken as a case study. The PID controller was tuned using AIS algorithm by minimizing the Integral Time Absolute Error (ITAE). The results were compared with the results of the Ziegler-Nichols tuning method and it was obvious that the AIS gives better results. The AIS algorithm showed it has the ability to find the global optimum solution and it gave a response better than the response of the traditional tuning methods in terms of rise time, settling time, steady state error and overshoot.
References
- Edmund K. Burke . Graham Kendall, “Artificial Immune System,” in Search Methodologies,2nd ed. New York City: springer, sec. 7.2.4, pp. 191, 2014.
- J.R. Al-Enezi, M.F. Abbod & S. Alsharhan,“ Artificial Immune Systems – Models, Algorithms And Applications,” in International Journal of Research and Reviews in Applied Sciences, IJRRAS, 2010.
- Neenu Thomas and Dr. P. Poongodi, “Position Control of DC Motor Using Genetic Algorithm Based PID Controller,” in World Congress on Engineering., London., WCE, 2009.
- Juan Carlos et al., “A Micro Artificial Immune System” in Polibits, Mexico City, Mexico, 2011.
- Bindu R. and Mini K., “Tuning of PID Controller for DC Servo Motor using Genetic Algorithm” in International Journal of Emerging Technology and Advanced Engineering, New Delhi, India, IJETAE, 2012.
- Rames C. Panda, “PID Controller Design for Specified Performance,” in Introduction To PID Controllers – Theory, Tuning And Application To Frontier Areas, 1st ed. :In Tech, sec. 1, pp. 4, 2012.
- katsuhiko ogata, “PID Controllers and Modified PID Controllers,” in Modern Control Engineering, 5th ed.: New Jersey,Prentice Hall, sec. 8.2, pp. 568, 2010.
- Raymond Chiong, “Social-Natural Intelligence,” in Nature-Inspired Algorithms for Optimisation, 1st ed. New York City: springer, sec. IV, pp. 389, 2009.
- Maoguo Gong et al., “Orthogonal Immune Algorithm with Diversity-based Selection for Numerical Optimization,” in Association for Computing Machinery., New York City., ACM, 2009.
Index Terms
Keywords