The parameters optimisation design for variable speed control momentum gyroscopes Attitude Control Constraint Case

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...

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Vydáno v:International journal of control Ročník 90; číslo 12; s. 2618 - 2630
Hlavní autoři: Liu, Feng, Zhao, Hui, Yao, Yu, Guo, Yang, Wang, Long
Médium: Journal Article
Jazyk:angličtina
Vydáno: Taylor & Francis 02.12.2017
Témata:
parameter optimisation design
particle swarm optimisation method
pyramid configuration
steering law analysis
VSCMGs
ISSN:0020-7179, 1366-5820
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Shrnutí: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 Karush-Kuhn-Tucker condition. Finally, the intelligent algorithm of particle swarm optimisation is presented to solve the nonlinear multi-objective problem.
ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2016.1261304