제어로봇시스템학회:학술대회논문집
- 1990.10a
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- Pages.344-349
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- 1990
An adaptive predictive control for the bilinear process
쌍일차 공정의 적응 예측제어
- Lo, K. (Seoul National Univ., Dept. of Chem. Eng) ;
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Yoon, E. S.
(Seoul National Univ., Dept. of Chem. Eng) ;
- Yeo, Y. K. (KIST, Chemical Process Lab) ;
- Song, H. K. (KIST, Chemical Process Lab)
- Published : 1990.10.01
Abstract
Under the assumption that process input/output data are sufficiently rich to allow reasonable plant identification, a long-range predictive control method for SISO bilinear plant is derived. In order to ensure offset-free behaviour of the control method, a new bilinear CARIMA model with variable dead-time is introduced. Furthermore, to extend the maximum output prediction horizon, the future predicted outputs in the bilinear term are assumed to be equal to the known future set-points. With a classical recursive adaptation algorithm, the proposed control scheme is capable of stable control of bilinear plants with variable parameters, with variable dead-time, and with a model order which changes instantaneously. Several simulation results demonstrate the characteristics of the proposed bilinear model predictive control method.
Keywords