Chaos bat algorithm UAV network control system and fault diagnosis method

A technology of network control system and bat algorithm, applied in transmission systems, bus networks, digital transmission systems, etc., can solve the problem of not considering the influence of fault signals, and achieve the goal of improving the discrimination, increasing the fault tolerance rate, and reducing the false alarm rate. Effect

Active Publication Date: 2020-10-16
JIANGSU VOCATIONAL COLLEGE OF BUSINESS
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Problems solved by technology

However, it only considers how to improve the robustness of the detection system to noise interference signals, and does not consider the impact on fault signals

Method used

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  • Chaos bat algorithm UAV network control system and fault diagnosis method
  • Chaos bat algorithm UAV network control system and fault diagnosis method
  • Chaos bat algorithm UAV network control system and fault diagnosis method

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Embodiment Construction

[0024] 1. System Modeling

[0025] Firstly, a short time-varying time-delay UAV engine network control system is established, and the following reasonable assumptions are made:

[0026] 1) The sensor nodes are time-driven, while the controller and actuator nodes are both event-driven, and the sampling period is a constant T. 2) There are network-induced delays between the sensor and the controller and between the controller and the actuator, respectively τ sc and τ ca , and satisfy τ sc +τ ca ≤ T, since the calculation delay is very small, it is ignored. 3) Both the sensor and the controller and the controller and the actuator are multi-packet transmission, and the static scheduling method is adopted. 4) There are unknown disturbances, but data packet loss and data packet timing disorder are not considered.

[0027] Considering that there may be external disturbances or model establishment errors in the actual operation of the UAV engine, it is known that the uncertain d...

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Abstract

The invention relates to a chaos bat algorithm UAV (Unmanned Aerial Vehicle) network control system and a fault diagnosis method. The method comprises the following steps of: 1, initializing parameters of an improved BA; 2, carrying out optimization through the improved BA, substituting the optimal position obtained through searching each time into a linear matrix inequality, if a feasible solution exists, continuing optimization, and otherwise, carrying out position searching again; and 3, judging whether the maximum iteration number Iterate_times is reached or not, if yes, stopping the algorithm and outputting an extreme value of a fitness function and a corresponding optimal position, so as to obtain an optimal fault observer gain matrix L1; otherwise, returning to the step 3, and carrying out the next iterative optimization. According to the method, how to eliminate the influence on the fault signal is considered while how to improve the robustness of a detection system to the noise interference signal is considered.

Description

technical field [0001] The invention relates to a chaotic bat algorithm UAV network control system and a fault diagnosis method. Background technique [0002] At present, due to the rapid development of network technology, the application of network control system in large UAV engine control system has attracted more and more attention. The biggest difference between the networked control system and the traditional point-to-point control system is that its relevant data is transmitted through the bus, but it is also due to the existence of the bus that it induces delays and data packet loss, which makes fault diagnosis The disadvantages brought by the bus must be taken into account. Wang Yuenan designed a robust fault detection observer for discrete time-delay systems, so that the detection residuals can be robust to noise signals. [0003] Robust fault detection is carried out for uncertain systems, time-delay network control systems and nonlinear systems, so that the sys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00H04L12/40
CPCG06N3/006H04L12/40006H04L2012/40215Y02T90/00
Inventor 何燕燕
Owner JIANGSU VOCATIONAL COLLEGE OF BUSINESS
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