| 基于RBF神经网络的自适应PID星钟热控制 |
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| 引用本文： | 许斌,刘志友,孙富春,姚伟,刘庆志.基于RBF神经网络的自适应PID星钟热控制[J].空间控制技术与应用,2010,36(5):42-44,49. |
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| 作者姓名： | 许斌 刘志友 孙富春 姚伟 刘庆志 |
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| 作者单位： | 1. 清华大学计算机科学与技术系,北京,100084;智能技术与系统国家重点实验室,北京,100084
2. 中国空间技术研究院,北京,100094 |
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| 摘 要： | 星钟的频率稳定性决定了星钟提供时间信息的精度,而频率稳定性取决于星钟物理核心温度的稳定程度.基于RBF神经网络逼近星钟热模型,设计自适应PID控制方法实现星钟物理核心的温度控制.仿真验证了算法的有效性.
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| 关 键 词： | 星钟 RBF神经网络 自适应PID热控制 |
An Adaptive PID Thermal Control of the Satellite Clock Based on RBF Neural Network |
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| XU Bin,LIU Zhiyou,SUN Fuchun,YAO Wei,LIU Qingzhi.An Adaptive PID Thermal Control of the Satellite Clock Based on RBF Neural Network[J].Aerospace Contrd and Application,2010,36(5):42-44,49. |
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| Authors: | XU Bin LIU Zhiyou SUN Fuchun YAO Wei LIU Qingzhi |
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| Institution: | 1. Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China;2. State Key Lab. of Intelligent Technology and Systems,Beijing 100084,China;3. China Academy of Space Technology,Beijing 100094,China) |
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| Abstract: | The accuracy of time information provided by satellite clock greatly depends on its frequency stability,which is up to the stability of the core temperature. This paper introduces an adaptive PID control for the satellite clock system whose model is approximated based on RBF neural networks. Simulation results demonstrate the validity of the proposed control. |
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| Keywords: | satellite clock RBF neural networks adaptive PID thermal control |
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