T-S fuzzy model based on time-delay state space for the control of burning through point

Analyzing the process of sintering as well as the correlation of burning through point (BTP) and wind-box temperature, this paper proposes a Takagi-Sugeno (T-S) fuzzy model based on time-delay state space for the control of BTP. The temperature of key wind-box is chosen as state variable and the inputs of the model are determined by grey correlation clustering analysis method. By using least square recursive algorithm, a state space model with time delay in inputs is obtained. With the idea of piecewise linearization, a T-S fuzzy model is built based on the state space description. The rule premise and consequent parameters are partly identified by FCM algorithm and least square recursive algorithm. According to the simulation result, the goodness of fit of this model is good, which provides a good reaction for the industrial production process.