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
- 2013.10
- 수록면
- 333 - 337 (5page)
이용수
초록· 키워드
오류제보하기
In order to achieve a robust control performance of the gasifier which has dynamic characteristics of multi-variable coupling, large inertia and multi-disturbance, an optimization method for decentralized PID/PI controller parameters based on probabilistic robustness is developed. First, the control structure and target of the Shell gasifier is analyzed and a crude model is introduced. Model uncertainties and other detailed industrial requirements could be considered at the same time in the method. The probability of satisfaction with the dynamic performance is computed statistically, and then it is presented as the objective function to optimize the controller parameters based on genetic algorithm. The Monte Carlo experiment was applied to test the robustness of the control system. In comparison with the tuning methods based on internal model control (IMC) and the optimization algorithm under the nominal model, simulation results show the method could exploit the potentialities of PID/PI controllers in a maximal probability.
목차
Abstract
1. INTRODUCTION
2. Model Description and Analysis
3. Decentralized PID Controllers Design Method Based on Probabilistic Robustness
4. Simulation Results and Analysis
5. CONCLUSIONS AND FUTURE WORK
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0