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
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[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.
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