Research on the Fuzzy Predictive Control for Calcining Temperature of the Rotary Cement Kiln
According to the analysis of the characteristics of timevarying and nonlinear, long delays in industry processes, a fuzzy predictive controller based on the T-S fuzzy model predictive control algorithm is designed for calcining temperature of the rotary cement kiln in this paper. First, a T-S fuzzy model for temperature control system is constructed. The input variables are divided according to the fuzzy C-means clustering algorithm, and the rear parameters of the fuzzy regulation are identified by the least square method. Later the system is locally dynamic linearized at each sampling point. Predictive control is done according to the constructed linear system model in the Generalized Predictive Control (GPC) algorithm. Simulation result shows the good adaptability and high accuracy of the designed controller.
rotary cement kiln temperature control T-S fuzzy model nonlinear system fuzzy cluster long time delay
Guo Feng Liu Bin Hao Xiaochen Gao Peng
Yanshan University Institute of Information Technology and Engineering and Institute of Electric and Electronic Engineering Qinhuangdao, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
2568-2571
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）