Reinforcement Learning Control for Gas Collector Pressure of Coke Ovens

被引:0
|
作者
Qin Bin [1 ]
Dai Leqiang [1 ]
Li Pengcheng [1 ]
Zhu Wangli [1 ]
Wang Xin [1 ]
机构
[1] Hunan Univ Technol, Sch Elect & Informat Engn, Zhuzhou 412007, Hunan, Peoples R China
关键词
coke oven; gas collector pressure; coupling control; reinforcement learning;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to nonlinear and strong coupling of coke ovens, a distributed reinforcement learning control algorithm based on a radial basis function (RBE) or gas collector pressure control was proposed, in which the discrete space was dealt with by RBF and the critic-actor method was used to update the parameters of search network and evaluation network of the controller. Moreover, the control strategies of the controller were optimized by trial and error in the strong interference environment. The simulation of gas collector pressure control of coke ovens has shown that the algorithm can effectively solve the coupling problem, and has better stability.
引用
收藏
页码:414 / 417
页数:4
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