지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 1,801 - 1,806 (6page)
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초록· 키워드
오류제보하기
A delta-operator-based adaptive model predictive control (AMPC) technique has been proposed for stack temperature control of a molten carbonate fuel cell (MCFC) system. The MCFC system is unique in that the system should be kept as stable as possible to avoid potential electrode damage, which renders the identification experiment difficult; many stack variables should be monitored at a high frequency and constrained for safe and energy-efficient operation over a long period of time. To accommodate such characteristics, an MCFC simulator was developed and delta-operator-based adaptive MPC was devised and applied to the numerical MCFC system. The model for controller design was derived from the MCFC simulator. To cope with the model error from the true system, a small number of tunable parameters were introduced so that they can be adjusted on-line during the operation of the system. The performance of the proposed technique was investigated numerically.
목차
Abstract
1. INTRODUCTION
2. MCFC SYSTEM
3. NUMERICAL PROCESS
4. CONTROLLER DESIGN
5. RESULTS AND DISCUSSION
6. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000915770