DE-based robust controller design for helicopter cruise control
This paper presents a robust state feedback controller tuning via constrained optimization using DE (differential evolution). The controller gain is optimized based on the plant model such that the closed-loop system achieves maximum stability radius. The desired control performance is specified by...
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iium-417572015-04-17T02:03:54Z http://irep.iium.edu.my/41757/ DE-based robust controller design for helicopter cruise control Mahmud, Iwan Akmeliawati, Rini Budiyono, Agus TJ212 Control engineering This paper presents a robust state feedback controller tuning via constrained optimization using DE (differential evolution). The controller gain is optimized based on the plant model such that the closed-loop system achieves maximum stability radius. The desired control performance is specified by assigning closed-loop poles region which is handled as a constraint in the DE-based optimization. The proposed controller design technique is applied to a longitudinal cruise control of a small-scale helicopter. The control of small-scale helicopter is a MIMO problem which increases the complexity of the controller design task. The proposed controller design attempts to simplify this complicated task where the automated design is employed via DE-based modern optimization. The effectiveness of the proposed controller design technique is presented by comparing its performance with that of conventional LQR-based controllers in computer simulation. UNSYS digital 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41757/1/iwanIJRM2014.pdf Mahmud, Iwan and Akmeliawati, Rini and Budiyono, Agus (2014) DE-based robust controller design for helicopter cruise control. International Journal of Robotics and Mechatronics, 1 (4). pp. 145-151. ISSN 2288-5889 http://ojs.unsysdigital.com/index.php/ijrm |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TJ212 Control engineering |
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TJ212 Control engineering Mahmud, Iwan Akmeliawati, Rini Budiyono, Agus DE-based robust controller design for helicopter cruise control |
description |
This paper presents a robust state feedback controller tuning via constrained optimization using DE (differential evolution). The controller gain is optimized based on the plant model such that the closed-loop system achieves maximum stability radius. The desired control performance is specified by assigning closed-loop poles region which is handled as a constraint in the DE-based optimization. The proposed controller design technique is applied to a longitudinal cruise control of a small-scale helicopter. The control of small-scale helicopter is a MIMO problem which increases the complexity of the controller design task. The proposed controller design attempts to simplify this complicated task where the automated design is employed via DE-based modern optimization. The effectiveness of the proposed controller design technique is presented by comparing its performance with that of conventional LQR-based controllers in computer simulation. |
format |
Article |
author |
Mahmud, Iwan Akmeliawati, Rini Budiyono, Agus |
author_facet |
Mahmud, Iwan Akmeliawati, Rini Budiyono, Agus |
author_sort |
Mahmud, Iwan |
title |
DE-based robust controller design for helicopter cruise control |
title_short |
DE-based robust controller design for helicopter cruise control |
title_full |
DE-based robust controller design for helicopter cruise control |
title_fullStr |
DE-based robust controller design for helicopter cruise control |
title_full_unstemmed |
DE-based robust controller design for helicopter cruise control |
title_sort |
de-based robust controller design for helicopter cruise control |
publisher |
UNSYS digital |
publishDate |
2014 |
url |
http://irep.iium.edu.my/41757/ http://irep.iium.edu.my/41757/ http://irep.iium.edu.my/41757/1/iwanIJRM2014.pdf |
first_indexed |
2023-09-18T20:59:42Z |
last_indexed |
2023-09-18T20:59:42Z |
_version_ |
1777410541285801984 |