Universiti Teknologi Malaysia Institutional Repository

Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller

Lutfy, Omar F. and Selamat, Hazlina and Mohd. Noor, S. B. (2015) Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller. Drying Technology, 33 (10). pp. 1210-1222. ISSN 0737-3937

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Official URL: http://dx.doi.org/10.1080/07373937.2015.1021007

Abstract

In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to other previously reported modeling techniques. To control the considered dryer, a simplified type 2 adaptive neuro-fuzzy inference system (ANFIS) controller was proposed. The effectiveness of this controller was demonstrated by several performance tests conducted by computer simulations. Moreover, a comparative study with other related controllers further confirmed the superiority of the proposed dryer controller

Item Type:Article
Uncontrolled Keywords:genetic algorithm, system identification
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:55995
Deposited By: Fazli Masari
Deposited On:15 Nov 2016 08:06
Last Modified:15 Feb 2017 00:44

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