The Obstacle Avoidance System in A Fixed-Wing UAV When Flying Low Using LQR Method

Dharmawan, Andi and Putra, Agfianto Eko and Tresnayana, I Made and Wicaksono, Wahyu Agung (2019) The Obstacle Avoidance System in A Fixed-Wing UAV When Flying Low Using LQR Method. In: 2nd International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM.

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Abstract

A fixed-wing Unmanned Aerial Vehicle (UAV) is widely used for military and civilian needs to carry out monitoring missions at low altitudes. In the monitoring mission, many obstacles are in front of the UAV flight path so that it can interfere with the UAV flights. Therefore, the UAV requires a control system to avoid these obstacles without causing excessive overshoot. The obstacle avoidance system in this research uses the Linear Quadratic Regulator (LQR) method. LQR plays a role in producing full state feedback gain K. The deflection angle of all control surfaces and Pulse Width Modulation (PWM) signals as brushless motor rotational speed regulators are set to produce a force and torque according to the result of the full-state feedback controller. Control phase of avoiding obstacles is divided into three, namely cruise, climb, and descent. This research shows that LQR-based controls play a role in stabilizing UAV motion when avoiding obstacles. The obstacle avoidance process follows a pattern generated by the flight pattern generator. © 2019 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 6
Uncontrolled Keywords: Antennas; Computer networks; Control surfaces; Fixed wings; Flight control systems; Military vehicles; Pulse width modulation; State feedback; Unmanned aerial vehicles (UAV); Voltage control; Avoiding obstacle; Brushless motors; Deflection angles; Force and torques; Full state feedback; Linear quadratic regulator; Obstacle-avoidance system; Rotational speed; Aircraft control
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 09 Oct 2026 09:05
Last Modified: 09 Oct 2026 09:05
URI: https://ir.lib.ugm.ac.id/id/eprint/29177

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