Sensor in-range fault accommodation is a fundamental challenge of dual channel control systems in modern aircraft gas turbine engines. An on-board, real-time engine model can be used to provide an analytical third sensor channel that may be used to detect and isolate sensor faults. A fuzzy-logic-based accommodation approach is proposed that enhances the effectiveness of the analytical third channel in the control system’s fault isolation and accommodation scheme. Simulation studies show the fuzzy accommodation scheme to be superior to current accommodation techniques.
Issue Section:Gas Turbines: Controls and Diagnostics
Topics:Fuzzy logic, Sensors, Aircraft, Control systems, Engines, Gas turbines, Simulation
A Generalized Defuzzification Via BAD Distributions,”
Int. J. Intell. Syst., Vol.
Fuzzy Hypercubes: Linguistic Learning/Reasoning Systems for Intelligent Control and Identification,”
Journal of Intelligent and Robotic Systems, Vol.
Real-Time Estimation of Gas Turbine Engine Damage Using a Control Based Kalman Filter Algorithm,”
Journal of Engineering for Gas Turbines and Power, Vol.
Kosko, B., 1992, Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to Machine Intelligence, Prentice Hall, Englewood Cliffs, New Jersey, pp. 299–338.
Patton, R. J., and Chen, J., 1992, “Review Of Party Space Approaches to Fault Diagnosis Applicable to Aerospace Systems,” Proc. AIAA Guidance, Navigation and Control Conference, AIAA-92-4538.
Schwartz, D. G., Klir, G. J., and Ezawa, Y., 1994, “Applications of Fuzzy Sets and Approximate Reasoning,” Proceedings of the IEEE, Vol. 82, No. 4.
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,”
IEEE Trans. Syst. Man. Cybern., Vol.
Zadeh, L. A., 1992, “The Calculus of Fuzzy If/Then Rules,” AI Expert, March, pp. 23–27.
This content is only available via PDF.
Copyright © 1998
by The American Society of Mechanical Engineers