Modelling and control of laboratory scale conveyor belt type grain dryer plant

This paper presents a modelling and control of conveyor belt type grain dryer plant using system identification and Quantitative Feedback Theory (QFT) technique. Modelling and control of grain dryer plant has been in dilemma due to the complexity in the process and uncertainty exists in the plant. M...

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Main Authors:	Mansor, Hasmah, Khan, Sheroz, Gunawan, Teddy Surya
Format:	Article
Language:	English
Published:	WFL Publisher Ltd 2012
Subjects:	S Agriculture (General) T Technology (General)
Online Access:	http://irep.iium.edu.my/24284/ http://irep.iium.edu.my/24284/ http://irep.iium.edu.my/24284/1/Modelling_and_control_JFAE.pdf

id	iium-24284
recordtype	eprints
spelling	iium-242842012-06-06T03:34:42Z http://irep.iium.edu.my/24284/ Modelling and control of laboratory scale conveyor belt type grain dryer plant Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya S Agriculture (General) T Technology (General) This paper presents a modelling and control of conveyor belt type grain dryer plant using system identification and Quantitative Feedback Theory (QFT) technique. Modelling and control of grain dryer plant has been in dilemma due to the complexity in the process and uncertainty exists in the plant. Most existing models are inaccurate and consists of very complex equations which require considerable computational time to resolve. In this research, system identification is proposed as a method to model a conveyor belt type grain dryer. This approach is practically new as it has never been used as an identification method for conveyor belt type grain dryer. The process model is computed based on the input/output data collected from real-time experiment, instantaneously avoids inaccuracy in deriving model from first principle that normally involves assumptions and estimations. A robust controller, known as QFT has been used to control the complex grain drying process. Although QFT has been successfully applied to many plants with uncertainty, none of those applications involved any types of grain dryer. A comprehensive study on the application of QFT on a new plant, particularly grain dryer is beneficial in agricultural sector as well as control engineering. The non-linearity behaviour, delay and discrepancies of the process model are taken account as parameter uncertainty. Test results showed that the grain dryer plant with QFT-based controller meets the desired performance specifications. The superiority, efficiency and robustness of QFT-based controller are revealed when comparison test between QFT and PID controllers are performed. WFL Publisher Ltd 2012-05-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/24284/1/Modelling_and_control_JFAE.pdf Mansor, Hasmah and Khan, Sheroz and Gunawan, Teddy Surya (2012) Modelling and control of laboratory scale conveyor belt type grain dryer plant. Journal of Food, Agriculture & Environment , 10 (2). pp. 1384-1388. ISSN 1459-0255 (P) 1459-0263 (O) http://www.world-food.net/scientificjournal.php
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	S Agriculture (General) T Technology (General)
spellingShingle	S Agriculture (General) T Technology (General) Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya Modelling and control of laboratory scale conveyor belt type grain dryer plant
description	This paper presents a modelling and control of conveyor belt type grain dryer plant using system identification and Quantitative Feedback Theory (QFT) technique. Modelling and control of grain dryer plant has been in dilemma due to the complexity in the process and uncertainty exists in the plant. Most existing models are inaccurate and consists of very complex equations which require considerable computational time to resolve. In this research, system identification is proposed as a method to model a conveyor belt type grain dryer. This approach is practically new as it has never been used as an identification method for conveyor belt type grain dryer. The process model is computed based on the input/output data collected from real-time experiment, instantaneously avoids inaccuracy in deriving model from first principle that normally involves assumptions and estimations. A robust controller, known as QFT has been used to control the complex grain drying process. Although QFT has been successfully applied to many plants with uncertainty, none of those applications involved any types of grain dryer. A comprehensive study on the application of QFT on a new plant, particularly grain dryer is beneficial in agricultural sector as well as control engineering. The non-linearity behaviour, delay and discrepancies of the process model are taken account as parameter uncertainty. Test results showed that the grain dryer plant with QFT-based controller meets the desired performance specifications. The superiority, efficiency and robustness of QFT-based controller are revealed when comparison test between QFT and PID controllers are performed.
format	Article
author	Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya
author_facet	Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya
author_sort	Mansor, Hasmah
title	Modelling and control of laboratory scale conveyor belt type grain dryer plant
title_short	Modelling and control of laboratory scale conveyor belt type grain dryer plant
title_full	Modelling and control of laboratory scale conveyor belt type grain dryer plant
title_fullStr	Modelling and control of laboratory scale conveyor belt type grain dryer plant
title_full_unstemmed	Modelling and control of laboratory scale conveyor belt type grain dryer plant
title_sort	modelling and control of laboratory scale conveyor belt type grain dryer plant
publisher	WFL Publisher Ltd
publishDate	2012
url	http://irep.iium.edu.my/24284/ http://irep.iium.edu.my/24284/ http://irep.iium.edu.my/24284/1/Modelling_and_control_JFAE.pdf
first_indexed	2023-09-18T20:36:28Z
last_indexed	2023-09-18T20:36:28Z
_version_	1777409078986801152

Modelling and control of laboratory scale conveyor belt type grain dryer plant

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