论文信息 - Robust Detection, Isolation, and Accommodation for Sensor Failures

Robust Detection, Isolation, and Accommodation for Sensor Failures

Recent advances in multivariable robust control system design are extended to sensor failure, detection, isolation, and accommodation (FDIA) and estimator design. A new concept called threshold selector is introduced. It represents a significant and innovative tool for the analysis and synthesis of FDIA algorithms. Analytical results are obtained for the SISO case to compute optimal thresholds and size of minimum detectable failures, and a computer-aided technique is developed for the multivarlable case. The techniques have been applied to sensor FDIA for an aircraft turbine engine control system.

A. Emami-Naeini | M.M. Akhter | S.M. Rock

[1] Krishna R. Pattipati,et al. A design methodology for robust failure detection and isolation , 1984 .

[2] John C. DeLaat. A Real-Time Fortran Implementation of a Sensor Failure Detection, Isolation and Accommodation Algorithm , 1984, 1984 American Control Conference.

[3] Rolf Isermann,et al. Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[4] Alan S. Willsky,et al. A survey of design methods for failure detection in dynamic systems , 1976, Autom..

[5] A. Willsky,et al. Analytical redundancy and the design of robust failure detection systems , 1984 .

[6] R. Clark. The dedicated observer approach to instrument failure detection , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.