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Random fault detection method of nonlinear networked control system

A technology of networked control and random faults, applied in general control systems, control/regulation systems, test/monitoring control systems, etc., can solve problems such as sensor saturation

Active Publication Date: 2019-12-03
河北莱美斯电力电器检测设备有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

Due to the unpredictability of network changes, there are many random phenomena in networked control systems, such as random nonlinearity, random packet loss, and random time delay. However, most research results assume that the faults in the system occur deterministically, and many It is to model the delay and packet loss separately
At the same time, due to physical limitations, the output of the sensor or the output rate cannot be arbitrarily large, the amplitude is limited, and the sensor saturation phenomenon often occurs in the actual system

Method used

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  • Random fault detection method of nonlinear networked control system

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Embodiment

[0195] Adopt the stochastic fault detection method of the nonlinear networked control system with packet loss and time delay under a kind of sensor saturation constraint that the present invention proposes, when there is no external disturbance and fault, that is, when θ(k)=0, the filtering error System (3) is mean square exponentially stable. When θ(k)≠0, the filter error system (3) is mean square exponentially stable and satisfies H ∞ Performance. The specific implementation method is as follows:

[0196] The mathematical model of a three-capacity water tank system is formula (10), and its system parameters are given as:

[0197]

[0198]

[0199]

[0200]

[0201] Let β 0 = 0.1, β 1 = 0.2, β 2 =0.3, get different random failure probabilities and nonlinear probability H under ∞ Performance Indicators¶ min ,As shown in Table 1.

[0202] Table 1 Different random failure probabilities and random non-linear probability Η in case ∞ Performance Indicat...

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Abstract

The invention discloses a random fault detection method of a nonlinear networked control system and belongs to the field of networked control systems. The method includes the following steps: firstly,random packet loss and random time delay are described by a unified model, a discrete networked control system model is established, a fault detection wave filter is designed subsequently, a wave filter error system is constructed, a residual error evaluation mechanism is introduced to judge whether a fault occurs or not, sufficient conditions of the mean square exponential stability of the wavefilter error system and the existence of the fault detection wave filter are obtained by using the Lyapunov stability theory and a linear matrix inequality (LMI) method, and an optimization problem issolved by a Matlab LMI toolbox to provide optimal fault detection wave filter parameters. The method of the invention takes into account sensor saturation, random faults, packet loss, time delay andnonlinearity in the system in actual situations, meets Bernoulli distribution during occurrence of conditions, is suitable for general fault detection and reduces the conservatism.

Description

technical field [0001] The invention belongs to the field of networked control systems, and relates to a random fault detection method of a nonlinear networked control system with packet loss and time delay under sensor saturation constraints. Background technique [0002] In recent years, with the rapid development of network technology, networked control system (Networked Control System, NCS) began to get the attention of many scholars. The networked control system has the advantages of convenient installation and maintenance, high flexibility and easy reconfiguration. In the networked control system, sensors, actuators, controllers and other system components are connected through the network. However, the introduction of the network will bring some new problems, such as data loss, network-induced delay, nonlinearity, etc., which will affect the performance and stability of the system, and even generate faults, so the fault detection method has been studied in recent year...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0213G05B23/0281G05B23/0294
Inventor 潘丰高敏王蕾
Owner 河北莱美斯电力电器检测设备有限公司
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