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: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| 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 |
| Summary: | 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. |
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