Research on the Fuzzy Predictive Control for Calcining Temperature of the Rotary Cement Kiln

被引：0

作者：

Guo Feng ^{[1
]}

Liu Bin ^{[1
]}

Hao Xiaochen ^{[1
]}

Gao Peng ^{[1
]}

机构：

[1] Yanshan Univ, Inst Informat Technol & Engn, Qinhuangdao, Peoples R China

来源：

2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年

关键词：

rotary cement kiln; temperature control; T-S fuzzy model; nonlinear system; fuzzy cluster; long time delay;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

According to the analysis of the characteristics of time-varying 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.

引用

页码：2568 / +

页数：2

共 50 条

[11] State Feedback Temperature Control Based on a Smith Predictor in a Precalciner of a Cement Kiln [J].

Salcedo-Hernandez, Jose ;

Feliu Batlle, Vicente ;

Rivas-Perez, Raul .

IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (01) :138-146

[12] A theoretical analysis on combustion intensification for blended coal in rotary cement kiln [J].

Hou, LY ;

Fu, WB ;

Zhang, YJ .

FUEL, 2001, 80 (11) :1645-1650

[13] Numerical simulation of oxy-coal combustion in a rotary cement kiln [J].

Wang, Mingyue ;

Liao, Bin ;

Liu, Yiqin ;

Wang, Shibo ;

Qing, Shan ;

Zhang, Aimin .

APPLIED THERMAL ENGINEERING, 2016, 103 :491-500

[14] A Hybrid Intelligent control for industrial rotary kiln plant [J].

Wang, YN ;

Shen, TT .

PROCEEDINGS OF THE 1996 IEEE IECON - 22ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS, CONTROL, AND INSTRUMENTATION, VOLS 1-3, 1996, :1418-1423

[15] An application of artificial immune PI controller to the hot-end temperature control of a rotary kiln [J].

Du, Qiliang ;

Gao, Xiangjun ;

Mo, Hongqiang ;

Mao, Zongyuan .

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, :3533-+

[16] Study on temperature control system of ceramic kiln based on fuzzy PID cascade [J].

Liu, Rongyu ;

Hu, En-dian ;

Zhu, Zhaoyuan ;

Mao, Ling ;

Ma, Zhihang .

PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, :1769-1772

[17] Simulating the mechanical behavior of a rotary cement kiln using artificial neural networks [J].

Pazand, K. ;

Panahi, M. Shariat ;

Pourabdoli, M. .

MATERIALS & DESIGN, 2009, 30 (09) :3468-3473

[18] Model predictive temperature control towards improving cement precalcination [J].

Koumboulis, FN ;

Kouvakas, ND .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2003, 217 (I2) :147-153

[19] Application Research of Fuzzy Predictive Control for Microwave Heater [J].

Diao, Xilian ;

Fan, Yongxin .

2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, :1482-1485

[20] Application research on foam glass kiln temperature control model and strategy [J].

Du, X.J. ;

Shi, S.T. .

Information Technology Journal, 2013, 12 (23) :7803-7808

← 1 2 3 4 5 →