A novel low-cost obstacle avoidance system for a quadcopter UAV using fuzzy logic

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\u27s 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. © 2020 by the authors