제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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An adaptive predictive control of distillation process using bilinear model

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  • Lo, Kyun (Dept. of Chem. Eng., Seoul National Univ.) ;
  • Yeo, Yeong-Koo (Process Control Lab., Korea Institute of Science and Technology) ;
  • Song, Hyung-Keun (Process Control Lab., Korea Institute of Science and Technology) ;
  • Yoon, En-Sup (Dept. of Chem. Eng., Seoul National Univ.)
  • 노균 (서울대학교 화학공학과) ;
  • 여영구 (한국과학기술연구원 공정제어연구실) ;
  • 송형근 (한국과학기술연구원 공정제어연구실) ;
  • 윤인섭 (서울대학교 화학공학과)
  • Published : 1991.10.01
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Abstract

An adaptive predictive control method for SISO and MIMO plants is proposed. In this method, future predictions of process output based on a bilinear CARIMA model are used to calculate the control input. Also, a classical recursive adaptation algorithm, equation error method, is used to decrease the uncertainty of the process model. As a result of the application on distillation process, the ability of the set-point tracking and the disturbance rejection is acceptable to apply to the industrial distillation processes.

Keywords