Research on Aluminum Electrolysis Equipment Control Strategy

摘要：

　　Aluminum electrolytic process is a complex nonlinear,time-varying delay and large industrial process system which conventional control methods are hardly can achieve good results.Because of that,a control method that combines fuzzy and neural network is put forward in the paper.This method has not only the robust fuzzy control and overshoot,but also self-learning ability of neural network.And conduct a system simulation,simulation results show that compared with the previous control method this method has good speed and stability,to achieve the purpose of energy saving for the control of alumina concentration.

关键词： Aluminum electrolytic Fuzzy control System simulation Neural network

作者: Jiejia Li Guangqi Chen Hao Wu Ying Li

作者单位: School of Information and Control Engineering, Shenyang Jianzhu University, 110168,Shenyang,China Shenyang instrument science research institute,110043, Shenyang,China

会议类型: 国际会议

会议名称: 2012 International Symposium on Polymer Composites and Polymer Testing(ISPCPT2012)(2012高分子复合材料与测试学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 474-477

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）