Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	4680/7123
Uncontrolled Keywords:	Inverse-model, twin rotor multi-input multi-output system (TRMS), adaptive neuro fuzzy system (ANFIS)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Siti Fauziah Toha
Date Deposited:	11 Jun 2012 10:59
Last Modified:	09 Oct 2012 09:00
URI:	http://irep.iium.edu.my/id/eprint/7123

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