Intelligent temperature control for continuous stirred tank reactor system based on reinforcement learning algorithm

Jiangxin Xu; Liang Yu; Zhenyu Yang; Guiwei Shao; Xiaohui Yan

doi:10.1117/12.2679600

16 June 2023 Intelligent temperature control for continuous stirred tank reactor system based on reinforcement learning algorithm

Jiangxin Xu, Liang Yu, Zhenyu Yang, Guiwei Shao, Xiaohui Yan

Author Affiliations +

Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127020S (2023) https://doi.org/10.1117/12.2679600
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China

Abstract

In this paper, an asynchronous advantage actor-critic (A3C) based intelligent temperature control method is proposed for Continuous Stirred Tank Reactor (CSTR) system. Firstly, the overall framework of CSTR system is composed of global network, thread network, environment model and interaction mechanism is designed. Secondly, the process of interaction is designed: the thread network is trained to interact with environmental models by using an asynchronous multi-threaded approach, the trained parameters are updated and synchronized to the global network. Finally, the effectiveness and stability of A3C algorithm is verified by the simulation experiments. The simulation experiments show that the trained A3C network can control the output temperature of the CSTR system to reach the preset temperature and keep it the preset temperature, so the temperature control of the CSTR system is achieved in the A3C algorithm.

Citation Download Citation

Jiangxin Xu, Liang Yu, Zhenyu Yang, Guiwei Shao, and Xiaohui Yan "Intelligent temperature control for continuous stirred tank reactor system based on reinforcement learning algorithm", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127020S (16 June 2023); https://doi.org/10.1117/12.2679600

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