Unmanned aerial vehicle cluster formation control method based on non-inferior solution pigeon colony optimization

A technology of pigeon group optimization and control method, which is applied in the research field of UAV swarm formation control, and can solve problems such as difficulties in online optimization of RHC controllers

Active Publication Date: 2019-06-21
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0008] The object of the present invention is to propose a kind of unmanned aerial vehicle swarm formation control method based on non-inferior solution pigeon group optimization, introduce non-inferior solution operator (the suspected optimal solution in the process of searching for the global optimum) in the original PIO algorithm , realize the improvement of its performance, and then realize the optimization of the parameters of the RHC controller, so as to solve the problem of difficult online optimization of the RHC controller in the UAV cluster formation, and effectively improve the control level of the UAV cluster formation; at the same time, through the non-inferior solution The pigeon group-optimized RHC controller can adjust parameters according to the real-time state of the UAV swarm formation to achieve the optimal control effect, so as to provide a real-time and online method to optimize the UAV swarm formation controller, thereby effectively improving the complexity of the complex battlefield. The level of control of UAV swarm formation in the environment

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  • Unmanned aerial vehicle cluster formation control method based on non-inferior solution pigeon colony optimization
  • Unmanned aerial vehicle cluster formation control method based on non-inferior solution pigeon colony optimization
  • Unmanned aerial vehicle cluster formation control method based on non-inferior solution pigeon colony optimization

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Embodiment Construction

[0078] See Figure 1 to Figure 4 The effectiveness of the method proposed by the present invention is verified below through a specific example of UAV swarm formation. The experimental computer configuration is Intel Core i7-4790 processor, 3.60Ghz main frequency, 4G memory, and the software is MATLAB 2014a version. The specific steps of a UAV swarm formation control method based on non-inferior solution pigeon group optimization are as follows:

[0079] Step 1: UAV swarm formation model

[0080] The UAV swarm is modeled based on the lead-wingman approach. Among them, the leader machine model is as formula (1). The horseshoe vortex model is used to consider the aerodynamic influence of the lead plane's wake on the wingman, and the wingman model is shown in formula (2). Assuming that the mass of each UAV is 1Kg, the speed of UAVs during the formation process is not greater than 80m / s, the range of throttle thrust is [10N, 100N], and the range of heading angle is [-50. ,50°...

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Abstract

The invention is an unmanned aerial vehicle cluster formation control method based on non-inferior solution pigeon colony optimization, which comprises the steps of 1, unmanned aerial vehicle clusterformation modeling, 2, unmanned aerial vehicle cluster formation state prediction, 3, non-inferior solution pigeon colony optimization method parameter initialization, 4, design of a non-inferior solution pigeon colony optimization-based method, 5, design of a non-inferior solution pigeon colony optimization-based unmanned aerial vehicle cluster formation RHC controller, and 6, unmanned aerial vehicle cluster formation control method result output. Thus, a real-time and online unmanned aerial vehicle cluster formation controller optimization method is provided, and thus, the unmanned aerial vehicle cluster formation control level in a complex battlefield environment can be effectively improved.

Description

technical field [0001] The invention is a research method for UAV swarm formation control based on biological intelligence optimization, which belongs to the field of UAV autonomous control. Background technique [0002] UAV is an unmanned aerial vehicle with self-powered, radio-controlled or autonomous flight, which can perform multiple tasks and can be used multiple times. Since the 1990s, with the rapid development of single UAV flight technology, it has gradually been widely used in military and civilian fields. However, with the integration, three-dimensional and multi-dimensional modern battlefield environment, and the fiercer competition in modern warfare, there are various performance constraints when a single machine performs various tasks, and the efficiency and accuracy of performing tasks will be limited. Therefore, multi-UAV cluster operations are extremely important. [0003] The success rate of UAV cluster flight and the ability to resist emergencies are str...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10G05B13/04G05B13/02
Inventor 段海滨徐小斌邓亦敏魏晨辛龙索良泽周锐仝秉达
Owner BEIHANG UNIV
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