Open AccessOnline Control of DC Motors Using Fuzzy Logic Controller for Remote Operated Robots
Author(s) -
K. Prema,
Naresh Kumar,
Subhransu Sekhar Dash
Publication year - 2014
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 27
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2014.9.1.352
Subject(s) - robot , mobile robot , fuzzy logic , controller (irrigation) , control engineering , dc motor , robot control , global positioning system , control theory (sociology) , fuzzy control system , engineering , obstacle avoidance , computer science , control (management) , artificial intelligence , electrical engineering , agronomy , biology , telecommunications
In this paper, a fuzzy logic controller is designed for a DC motor which can be used for navigation control of mobile robots. These mobile robots can be used for agricultural, defense and assorted social applications. The robots used in these fields can reduce manpower, save human life and can be operated using remote control from a distant place. The developed fuzzy logic controller is used to control navigation speed and steering angle according to the desired reference position. Differential drive is used to control the steering angle and the speed of the robot. Two DC motors are connected with the rear wheels of the robot. They are controlled by a fuzzy logic controller to offer accurate steering angle and the driving speed of the robot. Its location is monitored using GPS (Global Positioning System) on a real time basis. IR sensors in the robot detect obstacles around the robot. The designed fuzzy logic controller has been implemented in a robot, which depicts that the robot could avoid obstacle as well as perform its operation efficiently with remote online control.