Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system
A dynamic control system design has been a great demand in the control engineering community, with many applications particularly in the field of flight control. This paper presents investigations into the development of a dynamic nonlinear inverse-model based control of a twin rotor multi-inpu...
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| Language: | English |
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2009
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| Online Access: | http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/1/05358810.pdf |
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iium-71232012-10-09T01:00:58Z http://irep.iium.edu.my/7123/ Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system Toha, Siti Fauziah Tokhi, M. O. TA Engineering (General). Civil engineering (General) A dynamic control system design has been a great demand in the control engineering community, with many applications particularly in the field of flight control. This paper presents investigations into the development of a dynamic nonlinear inverse-model based control of a twin rotor multi-input multi-output system (TRMS). The TRMS is an aerodynamic test rig representing the control challenges of modern air vehicle. A model inversion control with the developed adaptive model is applied to the system. An adaptive neuro-fuzzy inference system (ANFIS) is augmented with the control system to improve the control response. To demonstrate the applicability of the methods, a simulated hovering motion of the TRMS, derived from experimental data is considered in order to evaluate the tracking properties and robustness capacities of the inverse- model control technique. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7123/1/05358810.pdf Toha, Siti Fauziah and Tokhi, M. O. (2009) Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system. In: Third UKSim European Symposium on Computer Modeling and Simulation 2009, 25-27 November 2009, Athens, Greece. http://dx.doi.org/10.1109/EMS.2009.106 doi:10.1109/EMS.2009.106 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TA Engineering (General). Civil engineering (General) |
| spellingShingle |
TA Engineering (General). Civil engineering (General) Toha, Siti Fauziah Tokhi, M. O. Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| description |
A dynamic control system design has been a great
demand in the control engineering community, with many
applications particularly in the field of flight control. This
paper presents investigations into the development of a
dynamic nonlinear inverse-model based control of a twin rotor
multi-input multi-output system (TRMS). The TRMS is an
aerodynamic test rig representing the control challenges of
modern air vehicle. A model inversion control with the
developed adaptive model is applied to the system. An adaptive
neuro-fuzzy inference system (ANFIS) is augmented with the
control system to improve the control response. To
demonstrate the applicability of the methods, a simulated
hovering motion of the TRMS, derived from experimental data
is considered in order to evaluate the tracking properties and
robustness capacities of the inverse- model control technique. |
| 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 |
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| title_short |
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| title_full |
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| title_fullStr |
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| title_full_unstemmed |
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| title_sort |
dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system |
| publishDate |
2009 |
| url |
http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/1/05358810.pdf |
| first_indexed |
2023-09-18T20:16:24Z |
| last_indexed |
2023-09-18T20:16:24Z |
| _version_ |
1777407816527511552 |