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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/7123/ http://irep.iium.edu.my/7123/1/05358810.pdf |
| _version_ | 1848776791536173056 |
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| author | Toha, Siti Fauziah Tokhi, M. O. |
| author_facet | Toha, Siti Fauziah Tokhi, M. O. |
| author_sort | Toha, Siti Fauziah |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:35:42Z |
| format | Proceeding Paper |
| id | iium-7123 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:42Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) |
| 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 |