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

• Main Authors: Toha, Siti Fauziah, Tokhi, M. O.
• Format: Conference or Workshop Item
• Language: English
• Published: 2009
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://irep.iium.edu.my/7123/1/05358810.pdf; http://irep.iium.edu.my/7123/; http://dx.doi.org/10.1109/EMS.2009.106

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.