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Non-fragile distributed fault estimation method based on sensor network

A sensor network and fault estimation technology, which is applied in the fault estimation of nonlinear and random gain changes of sensors, non-fragile distributed fault estimation, and fault estimation of nonlinear complex dynamic systems. It can solve problems that affect fault estimation performance and cannot Simultaneously deal with nonlinear and distributed sensor gain changes, etc., to achieve the effect of easy solution and implementation

Active Publication Date: 2016-09-28
NORTHEAST GASOLINEEUM UNIV
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Problems solved by technology

It solves the problem that the existing fault estimation methods in the control system cannot simultaneously deal with randomly occurring nonlinear and distributed sensor gain changes, thereby affecting the performance of fault estimation

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  • Non-fragile distributed fault estimation method based on sensor network
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Embodiment Construction

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0018] Symbol Description:

[0019] In this article, M T Represents the transpose of matrix M. R n Represents n-dimensional Euclidean space, R n×m Represents the set of all real matrices of order n×m. I and 0 represent the identity matrix and the zero matrix, respectively. The matrix P>0 means that P is a real symmetric positive definite matrix, and E{x} and E{x|y} respectively represent the mathematical expectation of the random variable x ...

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Abstract

The invention proposes a non-fragile distributed fault estimation method based on a sensor network, and the method is a fault estimation method for random nonlinearity and random gain changes of a sensor. The invention relates to the design of a random gain change and random nonlinear time-varying system non-fragile distributed fault estimator. The method introduces a non-fragile distributed fault estimation problem into a nonlinear time-varying system in a sensor network environment at first. The method obtains sufficient conditions through employing the L2 gain theory and the random analysis technology, and guarantees the existing of a needed distributed fault estimator. Compared with a conventional linear fault estimation method, the method can process random uncertainty and random nonlinear phenomena at the same time, and achieves a purpose of nonlinear disturbance resistance.

Description

technical field [0001] The invention belongs to the field of fault diagnosis and active fault-tolerant control, and relates to a non-fragile distributed fault estimation method based on a sensor network. Fault estimation for nonlinear complex dynamic systems. Background technique [0002] With the rapid development of modern science and technology, the scale and complexity of control systems are increasing day by day, and the number of sensors, controllers and actuators in the system has increased greatly. In this complex control system, the traditional point-to-point dedicated line transmission design cannot meet the requirements of cost-effectiveness, flexibility and maintainability. Therefore, the communication network must be introduced into the control system, and the network is used as a carrier to connect different components in the control system. However, the introduction of the communication network and the increase of other components have increased the occurren...

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/0631
Inventor 董宏丽路阳刘玉敏步贤业于雅静姜寅令吴攀超高宏宇
Owner NORTHEAST GASOLINEEUM UNIV
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