Sensor Fault Diagnosis Method Based on h Infinite Robust Unknown Input Observer
A technology for sensor failure and unknown input, applied in instrumentation, electrical testing/monitoring, testing/monitoring control systems, etc., can solve problems such as weak theory and technology, and achieve improved reliability and robustness. The effect of reducing volume and weight
Active Publication Date: 2019-05-10
FLIGHT AUTOMATIC CONTROL RES INST
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Moreover, at present, there is no sensor fault diagnosis method that can eliminate model uncertainty and external interference at the same time in China, so the theory and technology in this area are still very weak, and further research is needed
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[0016] The present invention will be described in further detail below.
[0017] figure 1 Schematic diagram of sensor fault diagnosis based on unknown input observer.
[0018] A sensor fault diagnosis method based on H-infinite robust unknown input observer, including:
[0019] Step 1. Use a certain steady-state equilibrium operating point of the aircraft subsystem to apply small disturbances to the input variable parameters of the system one by one, and at the same time force other states and input parameters to remain unchanged, and use a nonlinear model to perform multi-step dynamic calculations. When the iterative operation reaches When the balance stops, the corresponding state quantity derivative and the change of the output quantity are obtained, and the corresponding matrix elements are calculated according to the corresponding state quantity derivative and the change of the output quantity; The linear state-space model of ;
[0020] Step 2. Comparing the difference...
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The invention belongs to the technical field of sensor fault diagnosis of a CMS (Central Maintenance System) of a civil aircraft and discloses a robust H-infinity UIO (Unknown Input Observer) based sensor fault diagnosis method. The method includes forming a linear state space model of an aircraft sub system at a specific steady balanced state by matrix elements; comparing the difference between the linear state space model and a practical system and applying a deconvolution method for calculating a model error matrix E; solving parameter matrixes H, T, A1 in the UIO; solving a Lyapunov stabilization equation of the system through a known interference R and applying a linear matrix inequality under H-infinity frequency domain optimization so as to obtain parameter matrixes K1, K2, F in the UIO; performing j times dimensionality reduction on the parameter matrixes H, T, A1, K1, K2, F in the UIO and obtaining j dimensionality reduced UIO observers, and obtaining a residual error result of fault diagnosis of j sensors through the j dimensionality reduced UIO observers, wherein the residual error result is the fault diagnosis result.
Description
technical field [0001] The invention belongs to the technical field of sensor fault diagnosis of a central maintenance system (CMS) of civil aviation aircraft, and specifically relates to an H infinite robust optimization algorithm for fault diagnosis of a sensor of a civil aircraft health management system. Background technique [0002] The aircraft health management system consists of three parts: the central maintenance system, the aircraft status monitoring system, and the data download and configuration management system. Among them, the central maintenance system focuses on fault detection and diagnosis and isolation after the fault occurs; the aircraft status monitoring system focuses on fault prediction before the fault occurs; the data loading and configuration management system focuses on some auxiliary functions, such as online curing of programs and Management of software and hardware configuration items of each component in the system, etc. The central maintena...
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IPC IPC(8): G05B23/02
CPCG05B23/0218G05B2219/24054
Inventor 贺琛解庄
Owner FLIGHT AUTOMATIC CONTROL RES INST