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The parameters optimisation design for variable speed control momentum gyroscopes

机译:变速控制动量陀螺仪的参数优化设计

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Control momentum gyroscopes (CMGs) have many advantages over other actuators for the attitude control of a spacecraft. Compared with the single-gimbal control moment gyroscopes (SGCMGs), the mass and power of the flywheel of variable-speed control moment gyroscopes (VSCMGs) are greatly increased. In this paper, a new solving strategy of singularity problem is proposed, which concludes the exchangeable momentum and steering law, and the parameters of VSCMGs are designed based on the constraint of singular problem. The configuration characteristics of VSCMGs with the constraint of upper and lower bounds of the flywheel regulation speed are revealed. The steering characteristics of weighted pseudo-inverse with null motion (WPINM) are analysed, then the flywheel torque requirement of WPINM is evaluated based on the geometry theory. At last, the parameter design problem of VSCMGs is cast as multi-objectives and bi-level programming problem. The bi-level programming is transformed into a single-level programming problem by using of the KarushKuhn-Tucker condition. Finally, the intelligent algorithm of particle swarm optimisation is presented to solve the nonlinear multi-objective problem.
机译:控制动量陀螺仪(CMG)在其他致动器上具有许多优势,用于宇宙飞船的姿态控制。与单程万能控制力矩陀螺仪(SGCMG)相比,可变速度控制力矩陀螺仪(VSCMG)的飞轮的质量和功率大大增加。在本文中,提出了一种新的奇异问题策略,其结束了可交换的动量和转向法,VSCMG的参数是根据奇异问题的限制设计的。揭示了vscmg的构造特性,其具有飞轮调节速度的上限和下限的约束。分析了用空运动(WPInm)加权伪逆的转向特性,基于几何理论评估WPInm的飞轮扭矩要求。最后,VSCMG的参数设计问题被投射为多目标和双级编程问题。双级编程通过使用Karushkuhn-Tucker条件转换为单级编程问题。最后,提出了粒子群优化的智能算法来解决非线性多目标问题。

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