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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국항공우주학회 International Journal of Aeronautical and Space Sciences International Journal of Aeronautical and Space Sciences Volume.18 Number.3
- 발행연도
- 2017.9
- 수록면
- 535 - 544 (10page)
- DOI
- 10.5139/IJASS.2017.18.3.535
이용수
초록· 키워드
오류제보하기
In-flight aircraft engine performance estimation is one of the key techniques for advanced intelligent engine control and in-flight fault detection, isolation and accommodation. This paper detailed the current performance degradation estimation methods, and an improved hybrid Kalman filter via velocity-based LPV (VLPV) framework for these needs is proposed in this paper. Composed of a nonlinear on-board model (NOBM) and VLPV, the filter shows a hybrid architecture. The outputs of NOBM are used for the baseline of the VLPV Kalman filter, while the system performance degradation factors on-line estimated by the measured real system output deviations are fed back to the NOBM for its updating. In addition, the setting of the process and measurement noise covariance matrices’ values are also discussed. By applying it to a commercial turbofan engine, simulation results show the efficiency.
목차
Abstract
1. Introduction
2. An improved Kalman filter design procedure
3. Simulations and applications
4. Conclusions
References
참고문헌 (25)
참고문헌 신청
Adibhatla, Shrider, et al. “Model-based intelligent digital engine control (MoBIDEC).” Joint Propulsion Conference and Exhibit, 2013.
Simon, Dan, and D. L. Simon. “Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering.” Journal of Engineering for Gas Turbines & Power 127.2, 2003, pp. 1930-4.
Luppold R, Roman J, Gallops G, et al. “Estimating inflight engine performance variations using Kalman filter concepts”, 25th Joint Propulsion Conference, Joint Propulsion Conferences, 1989.
Volponi, A., D. L. Simon. “Enhanced Self-Tuning On-Board Real-Time Model (eSTORM) for Aircraft Engine Performance Health Tracking.” NASA Technical Report, 2008.
Simon, T.K.D., “Hybrid Kalman Filter: A New Approach for Aircraft Engine In-Flight Diagnostics.” NASA Technical Report, 2006.
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UCI(KEPA) : I410-ECN-0101-2018-558-001343177