A neural network based adaptive observer for turbine engine parameter estimation

Proceedings of the ASME Turbo Expo

Volumn 2, Issue , 2006, Pages 663-671

  Shankar, Praveen ^a   Yedavalli, Rama K ^a  

^a The Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE OBSERVERS; AIRCRAFT COMMUNITY;

AIRCRAFT; ALGORITHMS; KALMAN FILTERING; NEURAL NETWORKS; PARAMETER ESTIMATION;

TURBINES;

EID: 33750795605     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2006-90603     Document Type: Conference Paper

References (10)

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2. Simon, D., and Simon. D., 2003. "Aircraft turbofan engine health estimation using constrained kalman filteringg", ASME Turbo Expo 2003: Power for Land, Sea and Air.
3. Dewallef, P., Leonard, O., and Mathioudakis, K., 2004. "On-line aircraft engine diagnostic using a soft-constrained kalman filter". ASME Turbo Expo 2004: Power for Land, Sea and Air.
4. Litt. J., 2005. "An optimal orthogonal decomposition method for kalman filter-based turbofan engine thrust estimation". ASME Turbo Expo 2005: Power for Land, Sea and Air.
5. Maggiore, M., Ordonez, R., Passino, K., and Adibhatla, S., 1999. "Estimator design in jet engine applications". Vol.4, 38th IEEE Conference on Deeision and Control, pp. 3938-3943.
6. Volponi, A., 2005. "Use of hybrid engine modeling for on-board module performance tracking". ASME Turbo Expo 2005: Power for Land, Sea and Air.
7. Vargas, J., and Hemerly, E., 2001. "Adaptive observers for unknown general nonlinear systems". IEEE Transactions on Systems. Man and Cybernetics, 31(5), October, pp. 683-690.
8. Lamiotis, D., and Plataniotis, K., 1994. "Adaptive dynamic neural network estimators". Vol. 7, IEEE World Congress on Computational Intelligence, pp. 4736-4745.
9. Singh, D., Pandey, J., and Chauhan, D., 2004. "Radial basis neural network state estimation of electric power networks". IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, pp. 90-95.
10. Chen, C., Napolitano, M., and Chen, C.-L., 1992. "A new learning algorithm for neural network state estimation in active vibration control". Smart Material aticl Structures, 1, September, pp. 250-257.