Shift steering control of 2-axis ARM helicopter based on a neural network

Title
Shift steering control of 2-axis ARM helicopter based on a neural network
Author(s)
이석규배현수김병철[김병철]
Keywords
Abrasion; Aircraft control; Helicopters; Neural networks; Tracking (position); 2-axis ARM; Barycenters; Center of mass; Conventional methods; Direction control; External disturbances; Motor parameters; Steering control; Helicopter rotors
Issue Date
201507
Citation
Journal of Institute of Control, Robotics and Systems, v.21, no.7, pp.677 - 683
Abstract
This paper proposes a helicopter direction adjustment system using barycenter shift. Most conventional methods for direction adjustment of uniaxial helicopters rely on the angle of inclination of the main rotor. However, the inherent burden of the bearing of the main rotor and serious abrasion of the helicopter using the above methods may results in loss of balance. To decrease abrasion and enhance the barycenter stability, the proposed method was used to shift the barycenter of the helicopter instead of the main rotor for direction adjustment. We set a biaxial ARM on a uniaxial helicopter to adjust the direction of ARM pointing as well as to realize stable direction control when the helicopter loses its balance. The method may enhance the landing safety of helicopters in emergencies. Uniaxial helicopters can be controlled under any environment by adjusting the motor parameters of the ARM which is dependent on the center of mass using neural network. The experiment results show that the helicopter can return to the starting position quickly under the external disturbance. ? ICROS 2015.
URI
http://hdl.handle.net/YU.REPOSITORY/31521http://dx.doi.org/10.5302/J.ICROS.2015.15.0033
ISSN
1976-5622
Appears in Collections:
공과대학 > 전기공학과 > Articles
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