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Intelligent Thermal Control Strategy Based on Reinforcement Learning for Space Telescope
Y. Xiong,L. Guo,Y. Huang and L. H. Chen
2020
发表期刊Journal of Thermophysics and Heat Transfer
ISSN0887-8722
卷号34期号:1页码:37-44
摘要In this study, a thermal model of a space telescope is established in Simulink. An intelligent autonomous thermal control strategy based on actor-critic reinforcement learning (RL) for proportional-integral-derivative (PID) parameter adaptive self-tuning, called RL PID, is proposed. This control strategy enables the PID thermal controller to adaptively tune the PID parameters to achieve stable and precise temperature control. A single radial basis function (RBF) neural network is applied to simultaneously approximate the strategy function of the actor and the value function of the critic. The actor maps the system state to PID parameters, and the critic evaluates the output of the actor and generates a temporal difference (TD) error. Based on the architecture of the actor-critic RL algorithm and the TD error performance index, a design flow chart of RL PID is made. Both theoretical and experimental results show that RL PID can achieve a temperature control precision of 0.01 degrees C, and that the steady-state error is reduced by 50 and 75% in the simulation and 50 and 67% in the experiment compared with those of the traditional PID controller and the traditional switch controller, respectively. RL PID has better reliability, more robustness, and a faster response.
DOI10.2514/1.T5774
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收录类别SCI ; EI
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/64626
专题中国科学院长春光学精密机械与物理研究所
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Y. Xiong,L. Guo,Y. Huang and L. H. Chen. Intelligent Thermal Control Strategy Based on Reinforcement Learning for Space Telescope[J]. Journal of Thermophysics and Heat Transfer,2020,34(1):37-44.
APA Y. Xiong,L. Guo,Y. Huang and L. H. Chen.(2020).Intelligent Thermal Control Strategy Based on Reinforcement Learning for Space Telescope.Journal of Thermophysics and Heat Transfer,34(1),37-44.
MLA Y. Xiong,L. Guo,Y. Huang and L. H. Chen."Intelligent Thermal Control Strategy Based on Reinforcement Learning for Space Telescope".Journal of Thermophysics and Heat Transfer 34.1(2020):37-44.
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