| 基于机器学习的卫星姿态控制律设计 |
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| 引用本文： | 钟山,董云峰.基于机器学习的卫星姿态控制律设计[J].航天控制,2011,29(4):61-65. |
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| 作者姓名： | 钟山 董云峰 |
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| 作者单位： | 北京航空航天大学宇航学院,北京,100191 |
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| 摘 要： | 传统的优化算法只能针对给定控制律的指定参数进行优化.机器学习的方法,不仅进化参数,而且可以按给定准则进化出卫星姿态控制律表达式.建立卫星姿态动力学模型及敏感器和执行机构的原理与误差模型,构成含噪声的单自由度的闭环数字仿真系统.统计一段时间内仿真结果的姿态精度和稳定度作为该控制律的适应度函数.针对姿态控制律选定合适的函数...
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| 关 键 词： | 遗传编程 机器学习 控制 姿态 卫星 |
The Design of Satellite Attitude Control Law Based on Machine Learning |
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| ZHONG Shan,DONG Yunfeng.The Design of Satellite Attitude Control Law Based on Machine Learning[J].Aerospace Control,2011,29(4):61-65. |
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| Authors: | ZHONG Shan DONG Yunfeng |
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| Institution: | ZHONG Shan DONG Yunfeng Beijing University of Aeronautics and Astronautics,Beijing 100191,China |
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| Abstract: | Using the traditional optimization algorithms,the fixed parameters in control laws are only optimized.The machine learning method not only can optimize parameters,but also can evolve satellite attitude control law unmanned under certain criterion.The single axis satellite attitude simulation system with noise is set up,which includes satellite attitude dynamic model,sensors and actuators model.The inputs of control law are divided into attitude error,attitude error integration and angular velocity error.And... |
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| Keywords: | Genetic programming Machine learning Control Attitude Satellite |
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