Browse > Article
http://dx.doi.org/10.5391/JKIIS.2002.12.4.353

Immune Algorithm Controller Design of DC Motor with parameters variation  

Park, Jin-Hyun (진주산업대학교 산업자동화공학과)
Jun, Hyang-Sig (한국항공우주산업주식회사)
Lee, Min-Jung (IT 커뮤니티 부설연구소)
Kim, Hyun-Sik (국방과학연구소)
Choi, Young-Kiu (부산대학교 전자전기정보컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.4, 2002 , pp. 353-360 More about this Journal
Abstract
Methods for automatic tuning of PID controllers have been on of the results of the active research on control. The proposed controller also is auto-tuning of PID controller The proposed immune algorithm has an uncomplicated structure and memory-cell mechanism as the optimization algorithm which imitates the principle of humoral immune response. We use the proposed algorithm to solve optimization of PID controller parameters. Up to now, the applications of immune algorithm have been optimization problems with non-varying system parameters. Therefore the usefulness of memory-cell mechanism in immune algorithm is without. And research of memory-cell mechanism does not give us entire satisfaction. This paper proposes the immune algorithm using a memory-cell mechanism which can be the application of system with nonlinear varying parameters. To verify performance of the proposed immune algorithm, the speed control of nonlinear DC motor are performed. The results of Computer simulations represent that the proposed immune algorithm shows a fast convergence speed and a good control performances under the varying system parameters.
Keywords
Immune algorithm; Memory-cell mechanism;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Manabu Kawana, Kunio Saito, Tomoyasu Hiramatsu, Michio Miyazaki, Noriyuki Nanba, "A Solving Method of Simultaneous Non-linear Equations by Using Dynamic Parametric lA with Meta GA," T. IEE Japan, Vol. 119-C, No. 4, pp. 488-495, 1999.
2 Kazuhiko Takahashi and Takayuki Yamada, "Application of an Immune Feedback Mechanism to Control System," JSME International Journal, Series C, Vol. 41, No. 2, 1998.
3 Jang-Sung Chun, Jeong-Pil Lim, Hyun-Kyo Jung and Joong-Suk Yoon, "Optimization Design of Synchronous Motor with Parameter Correction Using Immune Algorithm," IEEE Trans. on Energy Conversion, Vol. 14, No. 3, pp. 610-615, September, 1999.   DOI   ScienceOn
4 Tomas Back, Evolutionary Algorithms in Theory and Practive: Evolution Strategied, Evolutionary Programming and Genetic Algorithms, Oxford University Press, 1996.
5 Satoshi Endoh, Naruaki Toma, Koji Yamada, "Immune algorithm for n-TSP," proceeding of the 1998 IEEE International Conference on System Man and Cybernetics Vol. 4, pp. 3844-3849, 1998.
6 A. Ishiguro, Y. Watanabe, and Y. Uchikawa, "An Immunological Approach to Dynamic Behavior Control for Autonomous Mobile Robot," Proceeding of IROS'95, Vol. 1, pp.495-500, 1995.
7 이영진, 이진우, 이권순,"세포성 면역 알고리즘을 이용한 AGV 의 조향 제어기 설계에 관한 연구," 제어자통화 시스템 공학회 논문지, 제7권, 제10호, pp.827-836, 2001.   과학기술학회마을
8 David B. Fogel, Evolutionary Computation : Toward a New Philosophy of Machine Intelligence, IEEE Press, 1995.
9 Kumur Chellapolla, David B. Fogel, "Fitness Distributions in Evolutionary Computation : Analysis of Local Extrema in the continuous Domain," Proceeding of the 1999 Congress on Evolutionary Computation," pp. 1885-1892, 1999.
10 Zbigniew Michalewicz, Genetic Algorithms + Data Structures=Evolution Programs, Springer-Verlag, 1994.
11 David E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company Inc., 1989.
12 Kazuyuki Mori, Makoto Tsukiyama and Toyoo Fukuda, "Adaptive Scheduling System Inspired by Immune Algorithm," Proceeding of the 1998 IEEE International Conference on System, Man and Cybernetics, Vol. 4, pp. 3833-3837, 1998.
13 N. Saravanan and D. B. Fogel, "Evolving Neurocontrollers using Evolutionary Programming," Proceedings of the first IEEE Conference on Evolutionary Computation, pp. 217 - 222, 1994.
14 A. Ishiguro, T. Kondo, Y. Watanabe, and Y. Uchikawa, "Dynamic Behavior Arbitration of Autonomous Mobile Robot using Immune Networks," Proceeding of ICEC'95, Vol. 2, pp.722-727,1995.
15 M. Kawafuku, M. Sasaki, and K. Takahashi, "Adaptive Learning Method of Neural Network Controller using an Immune Feedback Law," Proceedings of the 199 IEEE/ASME International Conference on Advanced Intelligent Mechatrinics, pp.641-647, 1999.