Fuzzy Logic Control for an Autonomous Robot

Vamsi Mohan Peri; Daniel J. Simon

doi:10.1109/NAFIPS.2005.1548558

Fuzzy Logic Control for an Autonomous Robot

Vamsi Mohan Peri, Daniel J. Simon

Cleveland State University

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper an autonomous wall-following robot is presented. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a Microchip PIC16F877 microcontroller onboard the robot, which analyses the data and provides the necessary control signal. A fuzzy logic controller is used to control the robot’s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested. Experimental results are presented to show the performance of the controller.

Original language	American English
Journal	Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
DOIs	https://doi.org/10.1109/NAFIPS.2005.1548558
State	Published - Jun 1 2005

Keywords

Matlab Simulink
PIC16F877 microchip
autonomous wall-following robot
data analysis
fuzzy logic control
fuzzy logic rule optimization
microcontroller
mounted ultrasonic sensor
robot modeling
robot motion control

Disciplines

Electrical and Computer Engineering
Robotics

Access to Document

10.1109/NAFIPS.2005.1548558License: CC BY

Cite this

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title = "Fuzzy Logic Control for an Autonomous Robot",

abstract = " In this paper an autonomous wall-following robot is presented. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a Microchip PIC16F877 microcontroller onboard the robot, which analyses the data and provides the necessary control signal. A fuzzy logic controller is used to control the robot{\textquoteright}s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested. Experimental results are presented to show the performance of the controller.",

keywords = "Matlab Simulink, PIC16F877 microchip, autonomous wall-following robot, data analysis, fuzzy logic control, fuzzy logic rule optimization, microcontroller, mounted ultrasonic sensor, robot modeling, robot motion control",

author = "Peri, \{Vamsi Mohan\} and Simon, \{Daniel J.\}",

note = "V. Peri and D. Simon. (2005). Fuzzy Logic Control for an Autonomous Mobile Robot. North American Fuzzy Information Processing Society Conference, 337-342.",

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AU - Simon, Daniel J.

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N2 - In this paper an autonomous wall-following robot is presented. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a Microchip PIC16F877 microcontroller onboard the robot, which analyses the data and provides the necessary control signal. A fuzzy logic controller is used to control the robot’s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested. Experimental results are presented to show the performance of the controller.

AB - In this paper an autonomous wall-following robot is presented. The inputs are obtained from ultrasonic sensors mounted. These inputs are sent to a Microchip PIC16F877 microcontroller onboard the robot, which analyses the data and provides the necessary control signal. A fuzzy logic controller is used to control the robot’s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested. Experimental results are presented to show the performance of the controller.

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KW - PIC16F877 microchip

KW - autonomous wall-following robot

KW - data analysis

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KW - fuzzy logic rule optimization

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KW - robot motion control

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JF - Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American

ER -

Fuzzy Logic Control for an Autonomous Robot

Abstract

Keywords

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