Robust fault detection method of nonlinear networked system under random packet losses

A fault detection, non-linear technology, applied in the direction of electrical testing/monitoring, etc., can solve the problem of few fault detection results

Inactive Publication Date: 2014-10-08
张琳
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Currently, there is little work done on the problem of fault detection in networked systems considering data loss

Method used

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  • Robust fault detection method of nonlinear networked system under random packet losses
  • Robust fault detection method of nonlinear networked system under random packet losses
  • Robust fault detection method of nonlinear networked system under random packet losses

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing, specific embodiment of the present invention is elaborated:

[0036] The present invention relates to the problem of robust fault detection for a class of discrete-time networked systems with random packet loss. The object is a time-varying system with unknown disturbances and nonlinear terms. The system parameters are time-varying and satisfy the bounded norm condition, and the nonlinear term satisfies the bounded condition of the sector domain. The unknown input is an arbitrary energy-bounded signal with unknown statistical properties. Through state augmentation, the original fault detection problem can be transformed into a robust H ∞ Filtering problem: Design a robust fault detection filter so that for any allowable time-varying parameters, external disturbances and all possible data loss, the difference between the output of the fault detection filter and the fault signal is within H ∞ as small as possible. Using th...

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Abstract

The invention relates to a robust fault detection method of a discrete time networked system with random packet losses. The object is a time-varying system with unknown disturbance and a nonlinear term, parameters of the system vary along with time and meet norm bounded conditions, the nonlinear term meets fan-shaped domain bounded conditions, and the unknown input is any energy bounded signal with unknown statistical property. Through state augmentation, an original fault detection problem can be converted into a robust H8 filtering problem, namely, a robust fault detection filter is designed, and for any allowed time-varying parameter and external disturbance and all possible data losses, the difference between output of the fault detection filter and a fault signal is made to be as small as possible in the sense of H8. The Lyapunov function method is used for proving that a whole fault detection system is stable in asymptotic mean square and meets the corresponding H8 disturbance attenuation requirements; a full robust fault detection filter existing condition meeting requirements and a fault detection filter parameter design method are provided in an LMI mode.

Description

Technical field: [0001] The invention relates to the technical field of fault detection, in particular to a robust fault detection method for nonlinear networked systems under random packet loss. Background technique: [0002] Fault detection technology is an important research direction in modern control theory, and it is of great significance to ensure the safe operation of the system. Most of the existing fault detection theories are established for traditional systems, and the data transmission between the various components of the system is an ideal process without signal time lag or loss. The emergence of networked systems has brought new challenges to the traditional fault detection theory. One of the important problems is the loss of data brought about by the introduction of the network. There are three main reasons for data loss: 1) due to multiple data packets sharing a communication channel with limited bandwidth, different data packets collide during transmissio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
Inventor 张琳汪文峰余江明张佳丽王君孙安全刘涛牛天林杨新宇
Owner 张琳
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