Comparison of Mamdani-type and Sugeno- type FIS for Water Flow Rate Control in a Rawmill
Vandna Kansal, Amrit Kaur · 2013
Fuzzy inference systems (FIS) are developed for water flow rate control in a rawmill of cement industry using Mamdani- type and Sugeno-type fuzzy models. This concept is taken from ambuja cement plant. It is essential to control water flow rate efficiently to produce high quality cement. Rawmill is a mill which is used to grind the raw materials which are used to manufacture cement. Water flow rate control system is two input and one output system. In this paper, both the models are simulated using MATLAB Fuzzy logic Toolbox and the results of the two fuzzy inference systems are compared. This paper outlines the basic difference between the Mamdani-type FIS and Sugeno-type FIS.