Browse > Article

Genetic Algorithm for Identification of Time Delay Systems from Step Responses  

Shin, Gang-Wook (Korea Institute of Water and Environment, Korea Water Resources Corporation)
Song, Young-Joo (Institute of Electrical Facility, Hongik University)
Lee, Tae-Bong (Dept. of Electronics and Information, Kyungwon College)
Choi, Hong-Kyoo (Dept. of Electrical Engineering, Hongik University)
Publication Information
International Journal of Control, Automation, and Systems / v.5, no.1, 2007 , pp. 79-85 More about this Journal
Abstract
In this paper, a real-coded genetic algorithm is proposed for identification of time delay systems from step responses. FOPDT(First-Order Plus Dead-Time) and SOPDT(Second-Order Plus Dead-Time) systems, which are the most useful processes in this field, but are difficult for system identification because of a long dead-time problem and a model mismatch problem. Genetic algorithms have been successfully applied to a variety of complex optimization problems where other techniques have often failed. Thus, the modified crossover operator of a real-code genetic algorithm is proposed to effectively search the system parameters. The proposed method, using a real-coding genetic algorithm, shows better performance characteristics when compared to the usual area-based identification method and the directed identification method that uses step responses.
Keywords
Genetic algorithm; identification; step response; time delay system;
Citations & Related Records

Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 5
연도 인용수 순위
1 W. Zhang, Y. Sun, and X. Xu, 'Two degree-of freedom smith predictor for processes with time delay,' Automatica, vol. 34, no. 10, pp. 1279-1282, 1998   DOI   ScienceOn
2 D. K. Lee, M. Y. Lee, S. W. Sung, and I. B. Lee, 'Robust PID tuning for smith predictor in the presence of model uncertainty,' J. Process Control, vol. 9, pp. 79-85, 1999   DOI   ScienceOn
3 Q. G. Wang and Y. Zhang, 'Robust identification of continuous systems with dead-time from step responses,' Automatica, vol. 37, pp. 377-390, 2001   DOI   ScienceOn
4 K. H. Kim, Multicriteria Structural Optimization by Genetic Algorithm, Seoul National University, 1994
5 R. Gorecki and J. Jekielek, 'Simplifying controller for process control of systems with large dead time,' ISA Transactions, vol. 38, pp. 37-42, 1999   DOI   ScienceOn
6 Q. G. Wang, X. Guo, and Y. Zhang, 'Direct identification of continuous time delay systems from step responses,' J. Process Control, vol. 11, pp. 531-542, 2001   DOI   ScienceOn
7 S. Majhi and D. P. Atherton, 'Modified smith predictor and controller for processes with time delay,' IEE Proc. Control Theory Appl., vol. 146, no. 5, pp. 359-366, 1999   DOI   ScienceOn
8 G. G. Jin, Genetic Algorithms and Their Applications, Kyowoo, 2000
9 Q. Bi, W. J. Cai, E. L. Lee, Q. G. Wang, C. C. Hang, and Y. Zhang, 'Robust identification of first-order plus dead-time model from step response,' Control Engineering Practice, vol. 7, pp. 71-77, 1999   DOI   ScienceOn
10 K. J. Astrom and T. Hagglund, PID controllers: Theory, Design, and Tuning, Instrument Society of America, 1995
11 A. Ingimundarson and T. Hagglund, 'Robust tuning procedures of dead-time compensating controllers,' Control Engineering Practice, vol. 9, pp. 1195-1208, 2001   DOI   ScienceOn
12 Y. Y. Kim, Determination of Coagulant Dosage Rate for the Water Treatment Plant Using Intelligent Algorithms, Chungnam National University, 2004