A state-aware optimization method to improve fault diagnosability in noisy environment

A technology of state perception and optimization method, applied in the field of aerospace control, can solve the problem of poor diagnosability of satellite control system, achieve the effect of reducing design cost, reducing the number of configurations, and improving accuracy and robustness

Active Publication Date: 2017-07-07
BEIJING INST OF CONTROL ENG
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Problems solved by technology

At present, in the design process of the satellite control system, the optimal layout of the state-aware system for improving fault diagnosability has not been considered, and the selection of diagnostic information mainly depends on the experience of the designer, which leads to poor diagnosability of the satellite control system

Method used

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  • A state-aware optimization method to improve fault diagnosability in noisy environment
  • A state-aware optimization method to improve fault diagnosability in noisy environment
  • A state-aware optimization method to improve fault diagnosability in noisy environment

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Experimental program
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Embodiment

[0077]For a 3-axis stable satellite attitude control system, its state space model can be described as:

[0078]

[0079] In the formula: θ and ψ respectively represent the roll angle, pitch angle and yaw angle of the satellite relative to the orbital coordinate system, ω x , ω y and ω z Indicates the projection of the satellite attitude angular velocity vector on the three principal inertial axes; u=[T x T y T z ] T ,T x , T y and T z Indicates the components of the control torque along the three main inertia axes; f a Indicates a momentum wheel failure; w(k) and v(k) respectively obey the following normal distribution w(t)~N(0 6×1 ,2.25×10 -10 I 6×6 )and 0 and I represent the zero matrix and identity matrix of the corresponding dimension, respectively;

[0080]

[0081] I x , I y and I z Indicates the moment of inertia of the satellite on the three main axes of inertia, and the value is I x =12.50kg·m 2 , I y =13.70kg·m 2 and I z =15.90kg·m...

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Abstract

The invention discloses a state perception optimization method for improving fault diagnosability in a noise environment. The method comprises the following steps: firstly obtaining quantitative fault diagnosability performance indexes by considering the influence of process noise and observation noise; subsequently building a genetic algorithm fitness function by taking minimum cost of measuring point arrangement as an optimization target; finally performing state perception selection based on a binary system genetic algorithm, thus finishing the state sensor optimizing process. The method has the advantages of transferring the key emphasis in work for improving the system fault diagnosis capability to a design stage, thereby ensuring the stability and the design accuracy of a random linear dynamic system, greatly reducing the number of state perception simultaneously, reducing the configuration number of sensors in a satellite control system and reducing the design cost of the satellite control system.

Description

technical field [0001] The invention relates to a state-aware optimization method for improving fault diagnosability, in particular to a state-aware optimization method for improving fault diagnosability in a noise environment, belonging to the field of aerospace control. Background technique [0002] With the rapid development of modern control technology and people's increasing requirements for system performance, the structure scale of the control system is getting larger and the functions are becoming more and more complex. Various failures are inevitable in complex systems, which will lead to system performance degradation and even complete collapse in severe cases. In the satellite control system, a small fault may cause a huge disaster and bring immeasurable losses. Therefore, in order to ensure the operation quality of the control system, it is necessary to improve the fault diagnosis and processing capabilities of the system to ensure that the fault is detected in ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0254
Inventor 王大轶李文博刘成瑞何英姿邢琰
Owner BEIJING INST OF CONTROL ENG
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