Open AccessSpeed Control of a Mobile Robot Using Fuzzy Logic Controller
Author(s) -
R. W. Tri Hartono,
Taufiq Nuzwir Nizar
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022063
Subject(s) - setpoint , control theory (sociology) , fuzzy logic , mobile robot , controller (irrigation) , electronic speed control , robot , computer science , defuzzification , fuzzy control system , encoder , control engineering , engineering , simulation , fuzzy set , artificial intelligence , control (management) , fuzzy number , electrical engineering , agronomy , biology , operating system
Applying a speed control system to a mobile robot needs to be done to make the robot move stably in an uneven environment with the variation of load. This study purpose is to designed a speed control system for a mobile robot to follow setpoints with a fast response to reach a predetermined speed. The speed controller used the fuzzy logic control method. The input is a speed error and the change in speed error is known from an encoder sensor and the output of the system is pulse width modulation (PWM) in the range of 8-bit converted to fuzzy forms. The rule formation and rule analysis with its implication function use the MIN function and defuzzification use the weighted average method. By implementing this fuzzy control the results of the robot move at the speed corresponding to the setpoint both on flat or uneven terrain, with load or without load. In experiments carried out on robots with a setpoint of 9,000 rpm from rest, the response time (in rise-time) is less than 47ms and steady-state error close to zero.