科研之友
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摘要
An actual control demand of rotary kiln is taken as background. By analyzing and improving approach of SMPC (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.
