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Satellite Formation Control Method Based on Neural Network and Sliding Mode Control

A technology based on neural network and neural network, which is applied in the field of satellite formation control based on neural network and sliding mode control, can solve the problems of poor ability to resist external interference, etc., and achieve the effects of easy processing, reduced calculation, and avoiding strange phenomena

Active Publication Date: 2022-05-10
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] Purpose of the invention: The purpose of this application is to provide a satellite formation control method based on neural network and sliding mode control, which solves the defect that the existing satellite formation control method has poor ability to resist external interference

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  • Satellite Formation Control Method Based on Neural Network and Sliding Mode Control
  • Satellite Formation Control Method Based on Neural Network and Sliding Mode Control
  • Satellite Formation Control Method Based on Neural Network and Sliding Mode Control

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0061]This application discloses a satellite formation control method based on neural network and sliding mode control, such as figure 1 shown, including:

[0062] S101 Establishing a dynamic model about the angular velocity and attitude quaternion of the rigid body spacecraft.

[0063] Specifically, the kinetic model is expressed as:

[0064]

[0065]

[0066]

[0067] Among them, J i ∈R 3×3 is the inertia matrix of the i-th satellite following the rigid body spacecraft; ω i ∈R 3 is the angular velocity relative to the rigid frame; u i ∈R 3 is the control input of the rigid body spacecraft; is the attitude quaternion of the rigid body spacecraft; q 0i and q vi Satisfy the relation d i ∈R 3 is the external disturbance moment vector of the i-th satellite following the rigid body spacecraft, and is the unknown external disturbance.

[0...

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Abstract

The invention discloses a satellite formation control method based on neural network and sliding mode control, comprising: establishing a dynamic model of a rigid body spacecraft; converting the dynamic model into a second-order mathematical model; The control error and error-limited function of the number; the control error of the attitude quaternion of the associated satellites in the satellite formation system is accumulated to obtain the system lumped error; the radial basis neural network is used for online compensation of external disturbances, according to The lumped error defines the sliding mode surface, and based on the sliding mode surface, the control law of the distributed controller of the satellite formation system is obtained. The method of the present application can quickly estimate and compensate the interference online in real time when the satellite formation system has interference in the operating environment, so that the satellite formation system can maintain the desired formation attitude and fly.

Description

technical field [0001] The invention relates to aerospace flight control, in particular to a satellite formation control method based on neural network and sliding mode control. Background technique [0002] A multi-agent system refers to a complex network in which individuals with the same or different perception and communication capabilities can generate complex cluster behaviors through simple information interaction with each other. There are a wide range of applications in the field. [0003] Existing multi-agent systems generally have three typical control structures: centralized, distributed and decentralized. The centralized method regards the multi-agent system as a whole to design the controller. This method is relatively simple to design the controller, but the cost is high, and it is not suitable for large-scale multi-agent systems. The decentralized controller design is to design a controller for each follower satellite in the multi-agent system. The method i...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04G05D1/10
CPCG05B13/042G05D1/104
Inventor 高志峰单越超钱默抒蒋国平林金星张孝波
Owner NANJING UNIV OF POSTS & TELECOMM
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