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
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.2
- 발행연도
- 2017.3
- 수록면
- 886 - 889 (4page)
이용수
초록· 키워드
오류제보하기
An active Fault Tolerant Model Predictive Control (FTMPC) using Fuzzy scheduler is developed. Fault tolerant Control (FTC) system stages are broadly classified into two namely Fault Detection and Isolation (FDI) and fault accommodation. Basically, the faults are identified by means of state estimation techniques. Then using the decision based approach it is isolated. This is usually performed using soft computing techniques. Fuzzy Decision Making (FDM) system classifies the faults. After identification and classification of the faults, the model is selected by using the information obtained from FDI. Then this model is fed into FTC in the form of MPC scheme by Takagi-Sugeno Fuzzy scheduler. The Fault tolerance is performed by switching the appropriate model for each identified faults. Thus by incorporating the fuzzy scheduled based FTC it becomes more efficient. The system will be thereafter able to detect the faults, isolate it and also able to accommodate the faults in the sensors and actuators of the Continuous Stirred Tank Reactor (CSTR) process while the conventional MPC does not have the ability to perform it.
목차
Abstract
1. Introduction
2. Fault Detection and Isolation Technique
3. Proposed FTC methodology
4. Results and Discussions
5. Conclusion
References
참고문헌 (8)
참고문헌 신청
Prakash J., Narasimhan Shankar, Patwardhan Sachin C.: Integrating Model Based Fault Diagnosis with Model Predictive Control. Industrial & Engineering Chemistry Research. vol. 44 (12), pp. 4344-4360, (2005).
U. Sabura Banu and G. Uma: ANFIS based sensor fault detection for continuous stirred tank reactor. Applied Soft Comp., vol. 11, pp. 2618-2624, (2011).
J.J. Gertler: A survey of model based failure detection and isolation in complex plant. IEEE Control Syst. Mag., vol. 8, pp. 3-11, (1988).
Maciejowski J. M.: Modeling and Predictive Control: Enabling Technologies for reconfiguration. Annual Reviews in Control, vol. 23, pp. 13-23, (1999).
T. N. Pranatyasto, S. Joe Qin.: Sensor validation and process fault diagnosis for FCC units under MPC feedback. Control engg. practice, vol. 9, pp. 877-888, (2001).
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UCI(KEPA) : I410-ECN-0101-2017-560-002172823