1 AIT Asian Institute of Technology

Extended kalman filter based localization and control of a bicycle robot

AuthorEakkaluk Chanthabudsri
Call NumberAIT Thesis no.ISE-12-06
Subject(s)Robots--Control systems
Tracking (Engineering)

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Mechatronics, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. ISE-12-06
AbstractIn the robot localization research, there are many challenging topics. The points impo1tant of localization techniques refer to the position and orientation. This paper proposes a robot localization and control algorithm which capable to moving from staiting point to desired destination by using GPS, digital compass and motor encoder. In this study, a bicycle robot is modified for localize and control purpose. Robot localization propose a localization method in order to estimate the position in real time, by using a path tracking method which contained algorithms such as fuzzy controller and PID controller. Moreover, the extend Kalman filter algorithm is implemented to system that computes the most likely path taken by a bicycle, based on signal measurements and a state model. Experimental result represents the proposed method can successfully localize and control a bicycle robot through predefined waypoints by different algorithms.
KeywordLocalization; Path tracking; Fuzzy controller; PID controller, Extend Kalman filter; Bicycle robot
Year2012
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ISE-12-06
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentOther Field of Studies (No Department)
Academic Program/FoSIndustrial Systems Engineering (ISE)
Chairperson(s)Manukid Parnichkun;
Examination Committee(s)Dailey, Matthew; Mongkol Ekpanyapong;
Scholarship Donor(s)Westem Digital and Royal Thai Government Fellowship;
DegreeThesis (M. Eng.) - Asian Institute of Technology, 2012


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