The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming

This study presents the motion control of a real time two wheeled balance robot capable of moving back and forward, turning right and left and video streaming via IP (Internet Protocol) camera on it. A C++ based visual user interface is created on PC (Personal Computer) in order to control of the de...

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Main Authors: Ali Unluturk, Ufuk Guner, Omer Aydogdu
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20164203012
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spelling doaj-da96e62282c74e58906d3ef99f61aba92021-02-02T02:21:38ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01420301210.1051/matecconf/20164203012matecconf_iccma2016_03012The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video StreamingAli Unluturk0Ufuk Guner1Omer Aydogdu2Selcuk University, Department of Electrical and Electronics EngineeringYildirim Beyazit University, Department of Electrical and Electronics EngineeringSelcuk University, Department of Electrical and Electronics EngineeringThis study presents the motion control of a real time two wheeled balance robot capable of moving back and forward, turning right and left and video streaming via IP (Internet Protocol) camera on it. A C++ based visual user interface is created on PC (Personal Computer) in order to control of the designed Two Wheeled Mobile Balance Robot (TWMBR). By means of the interface, all controller parameters of the robot can be changed via wireless communication module on it. Moreover, the robot’s tilt angle with respect to time, linear displacement and controller output can be observed simultaneously. Within the robot control interface, the videos from IP camera is transferred into the operator screen via TCP/IP (Transmission Control Protocol/Internet Protocol) communication protocol. So, the robot can be controlled via arrow keys and visual interface on PC remotely by an operator. Acceleration and gyro sensors are fused by means of a real-time Kalman Filter so that robot can keep its balance in both moving and stable state in the designed system. Thus, an accurate tilt angle control is realized. Classic PID (Proportional-Integral-Derivative) algorithm is used as robot controller. In conclusion, via IP camera on the robot, the real-time motion control is performed and data diagrams about motion control are obtained.http://dx.doi.org/10.1051/matecconf/20164203012
collection DOAJ
language English
format Article
sources DOAJ
author Ali Unluturk
Ufuk Guner
Omer Aydogdu
spellingShingle Ali Unluturk
Ufuk Guner
Omer Aydogdu
The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
MATEC Web of Conferences
author_facet Ali Unluturk
Ufuk Guner
Omer Aydogdu
author_sort Ali Unluturk
title The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
title_short The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
title_full The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
title_fullStr The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
title_full_unstemmed The Real Time Remote Motion Control of Two Wheeled Mobile Balance Robot by Using Video Streaming
title_sort real time remote motion control of two wheeled mobile balance robot by using video streaming
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description This study presents the motion control of a real time two wheeled balance robot capable of moving back and forward, turning right and left and video streaming via IP (Internet Protocol) camera on it. A C++ based visual user interface is created on PC (Personal Computer) in order to control of the designed Two Wheeled Mobile Balance Robot (TWMBR). By means of the interface, all controller parameters of the robot can be changed via wireless communication module on it. Moreover, the robot’s tilt angle with respect to time, linear displacement and controller output can be observed simultaneously. Within the robot control interface, the videos from IP camera is transferred into the operator screen via TCP/IP (Transmission Control Protocol/Internet Protocol) communication protocol. So, the robot can be controlled via arrow keys and visual interface on PC remotely by an operator. Acceleration and gyro sensors are fused by means of a real-time Kalman Filter so that robot can keep its balance in both moving and stable state in the designed system. Thus, an accurate tilt angle control is realized. Classic PID (Proportional-Integral-Derivative) algorithm is used as robot controller. In conclusion, via IP camera on the robot, the real-time motion control is performed and data diagrams about motion control are obtained.
url http://dx.doi.org/10.1051/matecconf/20164203012
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