Approach of Synthesizing Model Predictive Control and Its Applications for Rotary Kiln Calcination Process

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Abstract An actual control demand of rotary kiln is taken as background. By analyzing and improving approach of S-MPC (synthesizing model predictive control), an effective strategy which applies complex S-MPC in actual industrial process is designed. Firstly, after analyzing the main components technology and calcination reaction mechanism in detail, the calcining belt state-space model of rotary kiln is built using PO-Moesp (past-output multivariable output error state space model identification) method. Then, calcining belt temperature predictive control system is designed. The control system combines time-delay gain scheduled, output-tracking, recursive subspace adaptive and other methods, and forms the off-line/on-line predictive controller of rotary kiln. At last, MATLAB is applied for simulation, experiments run in constant value tracking and servo tracking situation. Simulation results show its effectiveness and feasibility.

Key words�� Synthesis approach of model predictive control Scheduled tracking Linear matrix inequalities Rotary kiln Soft sensor

Received: 24 April 2012 Published: 23 August 2013

Fund:Projects Sponsored by the National Natural Science Foundation of China

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	ZHANG Li
	GAO Xian-Wen

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ZHANG Li,GAO Xian-Wen. Approach of Synthesizing Model Predictive Control and Its Applications for Rotary Kiln Calcination Process[J]. Chinese Journal of Iron and Steel, 2013, 20(8): 14-19.

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http://gt.chinamet.cn/Jweb_gtyjxb_en/EN/ OR http://gt.chinamet.cn/Jweb_gtyjxb_en/EN/Y2013/V20/I8/14