Fuzzy modelling for a rotary dryer

Abstract

Abstract In this research a fuzzy model is developed for a rotary dryer. It is applied to the pilot plant rotary dryer located in the Control Engineering Laboratory at Oulu University. Firstly, a literature review looking at the current situation of fuzzy modelling and comparison of different methods is done. One modelling method is then applied to the building of the model from data. The rule parameters are determined on the basis of clusters created by Kohonen learning rule method and the initial model is optimised by the trial and error method. The resulting model behaviour is examined with simulation and, the results achieved are compared with other models