ANZCC 2019 Paper Abstract

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Paper TB1.6

Sattar, Abdul (RMIT University), Wang, Liuping (RMIT University), Mohamed, Abdulghani (RMIT University), Panta, Ashim (RMIT University), Fisher, Alex (RMIT University)

System Identification of Fixed Wing UAV with Multi-Segment Control Surfaces

Scheduled for presentation during the Regular Session "Modelling, Filtering, and Networked Control" (TB1), Thursday, November 28, 2019, 14:30−14:45, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on September 25, 2020

Keywords System Modelling and Identification

Abstract

For a fixed-wing unmanned aerial vehicle flight in turbulent environments, distributing aerodynamic load of single aileron through multiple segments can provide rapid actuation, precise roll and heave control while also having the potential to improve yaw response for tail-less (flying wing) aircraft. This paper investigates the identification of small unmanned aerial vehicle (SUAV) via aileron (two segments) instead of the conventional control. Only roll axis is considered in this paper given it represents the most sensitive axis to atmospheric disturbances. The multi-segment aileron is configured as a multi-input and single-output system and each segment is regarded a control input. Experiments are conducted in a Wind Tunnel to determine the frequency responses of the system and the corresponding transfer functions. The experimental results and the mathematical models indicate that interaction between various aileron surfaces is nonlinear. An understanding of this non-linearity aids future development of precise maneuverability, energy efficient control and highly stable operation under severe air turbulence.

 

 

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