PSO-optimized line following mobot platform implemented with fuzzy sensor inputs in low-level motor control
Date of Publication
2010
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Aaron Don M. Africa
Defense Panel Chair
Bernardo F. So, Jr.
Defense Panel Member
Rodrigo S. Jamisola, Jr.
Cesar A. Llorente
Abstract/Summary
Automation of many of today's processes is a growing trend in the field of computer and electronics today. Such automation makes processes simple, fast, and eventually improves efficiency. This paper studies and implements an automation scheme in mobile robot controls. Using a line following mobile robot, MOBOT, as a platform for the study, the researchers integrates three important control schemes, namely as Particle Swarm Optimization, Fuzzy Logic, and Low Level Motor Control, to optimized the speed and performance of the mobot.
In this study, the researchers focused on developing a system that combines the three control schemes to further improve the line tracking mobile robot performance. The researchers also envisions the optimized mobile robot platform to be used by the University, students and faculty, as a platform in creating other automated systems in the future.
Abstract Format
html
Language
English
Format
Accession Number
TU15832
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
163 leaves : ill. (some col.) ; 28 cm.
Keywords
Mobile robots; Robots--Control systems; Intelligent control systems
Recommended Citation
Cadacio, J. C., Capuno, J. T., Oropesa, R. C., Palero, D. N., & Sevesa, K. O. (2010). PSO-optimized line following mobot platform implemented with fuzzy sensor inputs in low-level motor control. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14673
