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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.
Date of Conference: 24-28 Oct. 2010