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基于免疫算法的模糊神经网络在板厚板形控制中的应用
Application of Fuzzy Neural Network Based on Immune Algorithm(IA) to AGC-ASC System
【摘要】 本文设计了一种基于免疫算法 (IA )的模糊神经网络板厚板形综合控制系统 ,用IA算法优化具有全局性的隶属函数参数后 ,再用梯度下降法在线调节和优化网络的局部性参数 .在应用于二机架可逆冷连轧板厚板形综合控制中的仿真实验表明 ,该系统有较强的抗干扰性和较好的收敛性 .
【Abstract】 In this paper, an AGC ASC system of fuzzy neural network based on immune algorithm (IA) is designed. After using IA to optimize the global parameters of membership functions, the local parameters of network are on line controlled and optimized by gradient reduced method. Simulation experiments on AGC ASC system of the two stand reversible tandem cold mill show that this system has good ability of convergence and resisting disturbance.
【关键词】 免疫算法;
模糊神经网络;
板厚板形控制;
智能控制;
【Key words】 immune algorithm; fuzzy neural network; AGC ASC; intelligent control;
【Key words】 immune algorithm; fuzzy neural network; AGC ASC; intelligent control;
- 【文献出处】 信息与控制 ,Information and Control , 编辑部邮箱 ,2004年04期
- 【分类号】TP273
- 【被引频次】35
- 【下载频次】264