期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：ANFIS (Adaptive Neuro Fuzzy Inference System) model of flow rate control system is developed for water flow rate control in a rawmill of cement industry using ANFIS Editor GUI (Graphical User Interface). Rawmill is a mill which is used to grind the raw materials used in manufacturing of cement. It is essential to control water flow rate efficiently to produce high quality cement. ANFIS combines the learning capabilities of neural networks and control capabilities of fuzzy logic control. Water flow rate control system is two input and one output system. This concept is taken from ambuja cement plant. In this paper, ANFIS model is presented and the experimental results of the developed model are also shown
关键词：ANFIS; flow rate control; process value; rawmill; setpoint
