T-S Fuzzy Modeling Method Based on C-Means Clustering

As complex industrial process with the characteristics of multi-variables, nonlinear, time-varying and large inertia, it is difficult to obtain the satisfactory model by traditional modeling method. In this paper, T-S model between calcination temperature and gas flow is established by applying the T-S fuzzy modeling method. Antecedent and consequent of T-S model are identified apart. Fuzzy c-means clustering algorithm is used to identify antecedent parameter and structure. Consequent parameter is identified by least square method. At last, the effect modeling method is validated by simulation of rotary kiln.