Inverse model based control for a twin rotor system
The use of active control technique has intensified in various control applications, particularly in the field of aircraft systems. A laboratory set-up system which resembles the behaviour of a helicopter, namely twin rotor multi-input multioutput system (TRMS) is used as an experimental rig i...
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iium-71212012-10-09T01:00:01Z http://irep.iium.edu.my/7121/ Inverse model based control for a twin rotor system Toha, Siti Fauziah Tokhi, M. O. TA Engineering (General). Civil engineering (General) The use of active control technique has intensified in various control applications, particularly in the field of aircraft systems. A laboratory set-up system which resembles the behaviour of a helicopter, namely twin rotor multi-input multioutput system (TRMS) is used as an experimental rig in this research. This paper presents an investigation using inverse model control for the TRMS. The control techniques embraced in this work are direct inverse-model control, augmented PID with feedforward inverse-model control and augmented PID with feedback inverse-model control. Particle swarm optimization (PSO) method is used to tune the parameter of PID controller. To demonstrate the applicability of the methods, a simulated hovering motion of the TRMS, derived from experimental data is considered. The proposed inverse model based controller is shown to be capable of handling both systems dynamic as well as rigid body motion of the system, providing good overall system performance. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7121/1/05898098.pdf Toha, Siti Fauziah and Tokhi, M. O. (2010) Inverse model based control for a twin rotor system. In: 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems (CIS), 1-2 September 2010 , University of Reading, U.K.. http://dx.doi.org/10.1109/UKRICIS.2010.5898098 doi:10.1109/UKRICIS.2010.5898098 |
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institution |
International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
language |
English |
topic |
TA Engineering (General). Civil engineering (General) |
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TA Engineering (General). Civil engineering (General) Toha, Siti Fauziah Tokhi, M. O. Inverse model based control for a twin rotor system |
description |
The use of active control technique has intensified in
various control applications, particularly in the field of aircraft
systems. A laboratory set-up system which resembles the
behaviour of a helicopter, namely twin rotor multi-input multioutput system (TRMS) is used as an experimental rig in this
research. This paper presents an investigation using inverse
model control for the TRMS. The control techniques embraced in
this work are direct inverse-model control, augmented PID with
feedforward inverse-model control and augmented PID with
feedback inverse-model control. Particle swarm optimization
(PSO) method is used to tune the parameter of PID controller. To
demonstrate the applicability of the methods, a simulated
hovering motion of the TRMS, derived from experimental data is
considered. The proposed inverse model based controller is
shown to be capable of handling both systems dynamic as well as
rigid body motion of the system, providing good overall system
performance. |
format |
Conference or Workshop Item |
author |
Toha, Siti Fauziah Tokhi, M. O. |
author_facet |
Toha, Siti Fauziah Tokhi, M. O. |
author_sort |
Toha, Siti Fauziah |
title |
Inverse model based control for a twin rotor system |
title_short |
Inverse model based control for a twin rotor system |
title_full |
Inverse model based control for a twin rotor system |
title_fullStr |
Inverse model based control for a twin rotor system |
title_full_unstemmed |
Inverse model based control for a twin rotor system |
title_sort |
inverse model based control for a twin rotor system |
publishDate |
2010 |
url |
http://irep.iium.edu.my/7121/ http://irep.iium.edu.my/7121/ http://irep.iium.edu.my/7121/ http://irep.iium.edu.my/7121/1/05898098.pdf |
first_indexed |
2023-09-18T20:16:24Z |
last_indexed |
2023-09-18T20:16:24Z |
_version_ |
1777407816241250304 |