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A Novel Low-Cost Obstacle Avoidance System for a Quadcopter UAV Using Fuzzy Logic

Sonny Boy P. Aniceto Jr., Russel Vince S. McGrath, Christer John I. Ochengco, Marissa G. Regalado, Alvin Y. Chua
Unmanned Aerial Vehicle Laboratory Mechanical Engineering Department, De La Salle University, Manila, Philippines

Abstract—Modular drones are a type of open-faced UAV which are used in drone research due to their modifiability. One downside to the drone-type is the lack of built-in drone features such as the obstacle-avoidance. This paper describes the design and construction of an obstacle avoidance feature for the drone using a fuzzy logic-based controller. The program is designed to be modifiable in terms of input distance and output pitch and roll values as to the user’s requirements. Loose bench testing was done prior to the actual indoor test in order to verify the output results. Actual indoor testing results showed a good response in terms of the fuzzy-logic controller performance. Creation and integration of a controller to regulate the flight controller output was recommended.

Index Terms—obstacle avoidance, fuzzy logic control, quadcopter, ultrasonic

Cite: Sonny Boy P. Aniceto Jr., Russel Vince S. McGrath, Christer John I. Ochengco, Marissa G. Regalado, Alvin Y. Chua, "A Novel Low-Cost Obstacle Avoidance System for a Quadcopter UAV Using Fuzzy Logic," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 5, pp. 733-738, May 2020. DOI: 10.18178/ijmerr.9.5.733-738

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.