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Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems


Citation

Lutfy, Omar Farouq and Mohd Noor, Samsul Bahari and Marhaban, Mohammad Hamiruce and Abbas, Kassim Ali (2011) Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225 (5). pp. 611-622. ISSN 0959-6518; ESSN: 2041-3041

Abstract

The grain drying process is characterized by its complex and non-linear nature. As a result, conventional control system design cannot handle this process appropriately. This work presents an intelligent control system for the grain drying process, utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control this process. In this context, a laboratory-scale conveyor-belt grain dryer was specifically designed and constructed for this study. Utilizing this dryer, a real-time experiment was conducted to dry paddy (rough rice) grains. Then, the input–output data collected from this experiment were presented to an ANFIS network to develop a control-oriented dryer model. As the main controller, a simplified proportional–integral–derivative (PID)-like ANFIS controller is utilized to control the drying process. A real-coded genetic algorithm (GA) is used to train this controller and to find its scaling factors. From the robustness tests and a comparative study with a genetically tuned conventional PID controller, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process represented by the developed ANFIS model.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1177/2041304110394559
Publisher: SAGE Publications
Keywords: Conveyor-belt grain dryers; ANFIS modelling and control; Genetic algorithms; Conventional PID controller
Depositing User: Nabilah Mustapa
Date Deposited: 21 May 2018 03:41
Last Modified: 21 May 2018 03:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1177/2041304110394559
URI: http://psasir.upm.edu.my/id/eprint/60428
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