Intelligent Thermal Control Strategy Based on Reinforcement Learning for Space Telescope
Y. Xiong,L. Guo,Y. Huang and L. H. Chen
刊名Journal of Thermophysics and Heat Transfer
2020
卷号34期号:1页码:37-44
ISSN号0887-8722
DOI10.2514/1.T5774
英文摘要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.
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语种英语
内容类型期刊论文
源URL[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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