A development of self-tuning quantitative feedback theory
This paper presents a development of self-tuning Quantitative Feedback Theory (QFT) for a non linear system. QFT is one type of robust controller which deals with plant uncertainty. The performance of robust controller for any uncertain plant is guaranteed based on pre-defined specifications. M...
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my.iium.irep.256422012-09-05T06:25:35Z http://irep.iium.edu.my/25642/ A development of self-tuning quantitative feedback theory Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya Mohd Noor, Samsul Bahari T Technology (General) TA168 Systems engineering This paper presents a development of self-tuning Quantitative Feedback Theory (QFT) for a non linear system. QFT is one type of robust controller which deals with plant uncertainty. The performance of robust controller for any uncertain plant is guaranteed based on pre-defined specifications. Meanwhile, self-tuning controller is one type of adaptive controller which also meant to solve the same control problem, however for slower plant drift. By combining both adaptive and robust controllers, both robust and adaptive performance can be achieved. The proposed algorithm is tested on a chosen case study, grain dryer plant. Grain dryer is a non linear plant with uncertainty as the characteristics of the plant can be affected by environmental changes, manufacturing tolerance and input/output disturbance. Based on the results obtained from this case study, the superiority of the proposed self-tuning QFT has been proven. From the comparison test conducted between self-tuning and standard QFT-based controllers, the proposed method produced more desirable response in terms of faster settling time, less percentage of overshoot with reduced ringing, smaller control effort required and wider leverage of uncertainty range. IEEExplore 2012 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/25642/1/06271341on_IEEExplore.pdf Mansor, Hasmah and Khan, Sheroz and Gunawan, Teddy Surya and Mohd Noor, Samsul Bahari (2012) A development of self-tuning quantitative feedback theory. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6271341&tag=1 10.1109/ICCCE.2012.6271341 |
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T Technology (General) TA168 Systems engineering Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya Mohd Noor, Samsul Bahari A development of self-tuning quantitative feedback theory |
description |
This paper presents a development of self-tuning
Quantitative Feedback Theory (QFT) for a non linear
system. QFT is one type of robust controller which deals with
plant uncertainty. The performance of robust controller for
any uncertain plant is guaranteed based on pre-defined
specifications. Meanwhile, self-tuning controller is one type
of adaptive controller which also meant to solve the same
control problem, however for slower plant drift. By
combining both adaptive and robust controllers, both robust
and adaptive performance can be achieved. The proposed
algorithm is tested on a chosen case study, grain dryer plant.
Grain dryer is a non linear plant with uncertainty as the
characteristics of the plant can be affected by environmental
changes, manufacturing tolerance and input/output
disturbance. Based on the results obtained from this case
study, the superiority of the proposed self-tuning QFT has
been proven. From the comparison test conducted between
self-tuning and standard QFT-based controllers, the
proposed method produced more desirable response in terms
of faster settling time, less percentage of overshoot with
reduced ringing, smaller control effort required and wider
leverage of uncertainty range. |
format |
Conference or Workshop Item |
author |
Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya Mohd Noor, Samsul Bahari |
author_facet |
Mansor, Hasmah Khan, Sheroz Gunawan, Teddy Surya Mohd Noor, Samsul Bahari |
author_sort |
Mansor, Hasmah |
title |
A development of self-tuning quantitative feedback theory |
title_short |
A development of self-tuning quantitative feedback theory |
title_full |
A development of self-tuning quantitative feedback theory |
title_fullStr |
A development of self-tuning quantitative feedback theory |
title_full_unstemmed |
A development of self-tuning quantitative feedback theory |
title_sort |
development of self-tuning quantitative feedback theory |
publisher |
IEEExplore |
publishDate |
2012 |
url |
http://irep.iium.edu.my/25642/1/06271341on_IEEExplore.pdf http://irep.iium.edu.my/25642/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6271341&tag=1 |
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1643608975115026432 |
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13.18916 |