Satellite attitude control through evolving a neural network

Shuguang Li, Jianping Yuan, Jianjun Luo, Weihua Ma

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We propose a pure topological recurrent network controller for satellite attitude control, which has random binary connections in hidden layer, and all hidden neurons are activated by sinusoidal functions. A direct graph encoding method and four genetic operators are implemented for using genetic programming to train this controller. Moreover, a simulated small satellite which equipped with three reaction wheels was developed, then this simulator was employed to test the controller and training method for a given simple attitude adjusting mission. The experimental results reveal that this controller has the simplicity, usability and potentials for satellite attitude control through evolutionary learning.

源语言英语
主期刊名2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
553-559
页数7
DOI
出版状态已出版 - 2010
活动2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010 - Xi'an, 中国
期限: 4 8月 20107 8月 2010

出版系列

姓名2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

会议

会议2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
国家/地区中国
Xi'an
时期4/08/107/08/10

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