Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/14466
Title: Application of Fuzzy Logic and PID Controller for Mobile Robot Navigation
Authors: Babunski, Darko 
Berisha, Jakup
Zaev, Emil 
Bajrami, Xhevahir
Keywords: component, navigation, obstacle avoidance, ultrasonic sensors, mobile robot, FLC, PID
Issue Date: Jun-2020
Publisher: IEEE
Conference: 2020 9th Mediterranean Conference on Embedded Computing (MECO)
Abstract: Mobile Robot navigation in real environment, detecting and avoiding static and dynamic obstacles is still a challenging task even counting new technology development. This consists, on methods and algorithms applied in order to achieve most optimal results. We present application of Fuzzy Logic Controller (FLC) and PID controller, which will deal with, signal processing of three sensors as inputs of FLC and two outputs which are left and right motors as actuators. Outputs from FLC will be sent to PID controller in order to get better and more accurate results for mobile robot navigation respectively more exact robot movement. In this paper is presented, a navigation of the mobile robot via FLC and PID controller.
URI: http://hdl.handle.net/20.500.12188/14466
DOI: 10.1109/meco49872.2020.9134317
Appears in Collections:Faculty of Mechanical Engineering: Conference papers

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