LSSVM Predictive Control for Calcination Zone Temperature in Rotary Kiln with IHS Algorithm

被引：0

作者：

Zhongda Tian ^{[1
]}

Shujiang Li ^{[1
]}

Yanhong Wang ^{[1
]}

Xiangdong Wang ^{[1
]}

机构：

[1] College of Information Science and Engineering,Shenyang University of Technology

来源：

Journal of Harbin Institute of Technology(New series) | 2016年 / 04期

基金：

中国国家自然科学基金;

关键词：

rotary kiln; calcination zone temperature; least square support vector machine; improved harmony search; predictive control;

D O I：

暂无

中图分类号：

TQ177.26 [];

学科分类号：

0805 ; 080502 ;

摘要：

The calcination zone temperature control is an important problem in rotary kiln production process. In order to solve this problem,a predictive control method based on improved harmony search algorithm( IHS)and least square support vector machine( LSSVM) is proposed. LSSVM is utilized to bulid the nonlinear predictive model of calcination zone temperature in rotary kiln. The calcination zone temperature can be predicted through input control variable,the error and error correction of output feedback. The performance index function is established by deviation and control variable. An IHS algorithm with better fitness and faster convergence speed is proposed. The optimal control variable can be obtained by rolling optimization through this IHS algorithm. The stability of this predictive control method is proved to be feasible. The simulation and actual experiment results show that the proposed predictive control method has good control performance.

引用

页码：67 / 74

页数：8