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Speed Control of A Mobile Robot Using Fuzzy Logic Controller
R Hartono1, T N Nizar2

Universitas Komputer Indonesia


Abstract

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 designed a speed control system for a mobile robot to follow setpoints with a fast response to reach a predetermined speed. The speed controller uses 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 47 ms and steady-state error close to zero.

Keywords: Speed control system, Mobile robot, Fuzzy logic controller

Topic: Electrical and Computer Engineering

Link: https://ifory.id/abstract/3UZKPX9Yq4fA

Conference: 2nd International Conference on Informatics, Engineering, Science and Technology (INCITEST 2019)

Plain Format | Corresponding Author (Rodi Hartono)

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