The Application of Fuzzy Predictive Control in Lime Production

In the process of lime production, controlling temperature of kiln is crucial to the quality and energy saving. However, as limekiln is a delayed, inertia and nonlinear object, it is hard to get a satisfied control effect via traditional control arithmetic method. Based on the mathematical model study on gas-burning limekiln control system, this paper brings up a fuzzy predictive controlling method, which well combines the predictive function of predictive control with the rapid reaction of fuzzy control in a big deviation range. The simulation on Matlab proves that not only the controlling effect of fuzzy predictive control is superior to fuzzy or predictive controlling method, but also the speed and constancy are improved as well.

[1]  J. Richalet,et al.  Industrial applications of model based predictive control , 1993, Autom..

[2]  B. Bulut,et al.  Industrial Application of Model Based Predictive Control , 2000 .

[3]  C. V. Rao,et al.  Steady states and constraints in model predictive control , 1999 .

[4]  Vladimir Havlena,et al.  Application of model predictive control to advanced combustion control , 2005 .

[5]  Gao Peng,et al.  Research on the fuzzy predictive control for calcining temperature of the rotary cement kiln , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[6]  Li Gongfa,et al.  Temperature Predictive Fuzzy Control of Coke Oven , 2006, 2007 Chinese Control Conference.

[7]  Barbara Hayes-Roth,et al.  Intelligent control of complex materials processes , 1990, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.