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Modeling and collision avoidance control for the Disturbance-Free Payload spacecraft

机译:无干扰有效载荷航天器的建模和避免碰撞控制

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The Disturbance-Free Payload (DFP) spacecraft, which includes the payload module (PM) and the support module (SM) connecting through voice coli motors (VCM), can provide unprecedented control and motion stability for the sensitive payload. The payload module and the support module have a high collision probability because of close proximity formation. In order to perform collision avoidance control on two modules, this paper establishes the dynamics model of the DFP spacecraft and proposes a collision avoidance control strategy based on the model predictive control (MPC). The established model synthesizes the back-Electromotive-Force (back-EMF) of the VCM and the stiffness and damping of the flexible cables. The MPC controller converts the collision avoidance problem into a quadratic programming problem. The control forces are obtained by solving the quadratic programming problem. The collision avoidance control simulation of the DFP spacecraft has performed while the payload module subjects to sudden disturbance. The simulation results verify the effectiveness of the proposed control strategy and show that the proposed MPC controller exhibits better collision avoidance capability than that of the PD controller.
机译:无干扰有效载荷(DFP)航天器包括有效载荷模块(PM)和通过语音大肠菌马达(VCM)连接的支撑模块(SM),可以为敏感有效载荷提供空前的控制和运动稳定性。由于紧密接近的形成,有效载荷模块和支撑模块具有高的碰撞概率。为了对两个模块进行防撞控制,建立了DFP航天器的动力学模型,并提出了基于模型预测控制(MPC)的防撞控制策略。建立的模型综合了VCM的反电动势(back-EMF)以及柔性电缆的刚度和阻尼。 MPC控制器将避免碰撞问题转换为二次编程问题。通过解决二次编程问题来获得控制力。 DFP航天器的防撞控制仿真已经在有效载荷模块遭受突然干扰的同时进行了。仿真结果验证了所提出控制策略的有效性,表明所提出的MPC控制器具有比PD控制器更好的防撞能力。

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