Modeling of Real-Time Double Loops System in Predicting Sinterings BTP

摘要：

In this paper, a double loops system, which based on the property of the large delay and time-varying of sintering process, is proposed to solve a challenging problem for building a system model of dynamic vary structure and vary weights from the given input and output data to predict the burning through point (BTP). A position track fuzzy controller is used to adjust the speed of sinter in outer loop, and an optimum Self-organizing Genetic Algorithms Neural Networks is also presented. The comparison of the actual process and the simulative process by OSGANN demonstrate that the performance and capability of the proposed system are superior.

关键词： self-organized neural network BTP double-loop control sinter production integrate intelligent system

作者: Wushan Cheng

作者单位: Shanghai University of Engineering Science, Shanghai 200065

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 14-24

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）