Genetic algorithm for identification of time delay systems from step responses
- Authors
- Shin, Gang-Wook; Song, Young-Joo; Lee, Tae-Bong; Choi, Hong-Kyoo
- Issue Date
- Feb-2007
- Publisher
- INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
- Keywords
- genetic algorithm; identification; step response; time delay system
- Citation
- INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.5, no.1, pp.79 - 85
- Journal Title
- INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Volume
- 5
- Number
- 1
- Start Page
- 79
- End Page
- 85
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/23643
- ISSN
- 1598-6446
- 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.
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Collections - College of Science and Technology > Department of Electronic and Electrical Engineering > 1. Journal Articles
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