基于免疫克隆和径向基函数神经网络的铝热连轧张力控制研究

doi:10.3969/j.issn.1000-1158.2015.02.09

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Abstract Aimed at the tension variation during transforming process of "1+4" aluminum hot tandem rolling unit in one factory of Henan, the factors affecting tension variation are analyzed, the tension forming process was simulated and the control system diagrams was constructed. Due to normal PID controller could not meet the requirement of the system, so using immune clone algorithm to optimize PID controller parameters, the mixed control of radical basis function neural network coupled with PID was proposed to solve the problem of online parameters control. By simulation, it could be found that the use of immune clone algorithm and radical basis function significantly reduced surplus adjustment, transition time, and tension coupling degree among stands was also reduced.

Key words： Metrology Aluminum hot tandem rolling Tension model Tension control Immune clone algorithm Radical basis function neural network

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	Articles by authors
	ZHAO Xin-qiu
	MENG Qing-gang
	YANG He
	YANG Jing-ming

Cite this article:

ZHAO Xin-qiu,MENG Qing-gang,YANG He, et al. Tension Control Study of Aluminum Hot Tandem Rolling Based on Immune Clone Algorithm and Radical Basis Function Neural Network[J]. Acta Metrologica Sinica, 2015, 36(2): 149-153.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2015.02.09 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2015/V36/I2/149