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)
  • Published : 2007.02.28

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

References

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