Transient Response Improvement of Multiple Model/Controller IMC Using Recurrent Neural Networks

재귀신경망을 이용한 다중모델/제어기 IMC의 과도 응답 개선

  • O, Won-Geun (Dept.of Information Communication Engineering, Sunchon National University) ;
  • Jo, Seong-Eon (Dept.of Information Communication Engineering, Sunchon National University) ;
  • So, Ji-Yeong (Dept.of Information Communication Engineering, Sunchon National University)
  • 오원근 (순천대학교 정보통신공학부) ;
  • 조성언 (순천대학교 정보통신공학부) ;
  • 소지영 (순천대학교 정보통신공학부)
  • Published : 2001.07.01


The Multiple Model/Controller IMC(MMC-IMC) is a model-based control method which uses a set of model/controller pairs rather than a single model/controller to handle all possible operating conditions in the IMC control structure. During operation, one model/controller pair that best fit, for current plant situation is chosen by the switching algorithm. The major drawback of the switching controller is the bad transient performance due to the model error and the use fo linear controller for nonlinear plants. In this paper, we propose a method that transient response of the MMC-IMC using two recurrent neural networks. Simulation result shows that the proposed method represents better performance than the usual MMC-IMC`s.


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