Application of BP Neural Network Intelligent PID Controller based on GA in Electrode Regulator Systems of Electric Arc Furnace

摘要：

Aimed at the characteristics of strong nonlinearity, uncertainty, time-variance and, strong coupling etc for AC electric arc furnace (EAF), and the traditional PID can not achieve desired control effect. The paper proposes a PID control algorithm based on optimized BP neural network using genetic algorithm, which is applied in electrode regulator systems of electric arc furnace to design the optimized controller. The algorithm optimizes the initial weights of BP neural network by using genetic algorithm firstly, and then adjusts the PID parameters by using BP neural network. The simulation indicates that the algorithm is feasible, and unit with intelligent PID controller has better accuracy and dynamic characteristics.

关键词： genetic algorithm BP neural network PID control electrode Optimization

作者: Wang Hong-jun Li Yan-wei Yue You-jun

作者单位: Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University School of Electrical Engineering, Tianjin University of Technology, Tianjin, China School of Electrical Engineering, Tianjin University of Technology,Tianjin, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 198-202

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）