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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 International Journal of Control Automation and Systems International Journal of Control Automation and System Vol.4 No.6
- 발행연도
- 2006.12
- 수록면
- 669 - 681 (13page)
이용수
초록· 키워드
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In this work, a new method of design adaptive controllers for SISO systems based on multiple models and switching is presented. The controller selects the model from a given set, according to a switching rule based on output prediction errors. The goal is to design, at each sample instant, a predictive control law that ensures the robust stability of the closed-loop system and achieves the best performance for the current operating point. At each sample the proposed control scheme identifies a set of linear models that best characterizes the dynamics of the current operating region. Then, it carries out an automatic reconfiguration of the controller to achieve the best possible performance whilst providing a guarantee of robust closed-loop stability. The results are illustrated by simulations a nonlinear continuous and stirred tank reactor.
목차
Abstract
1. INTRODUCTION
2. ROBUST PREDICTIVE FEEDBACK CONTROL
3. MULTIPLE MODELS, SWITCHING AND TUNING CONTROL
4. SIMULATIONS AND RESULTS
5. CONCLUSIONS
APPENDIX
REFERENCES
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