Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Mechanical Engineering
First Advisor's Name
Sabri Tosunoglu
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Ibrahim Tansel
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Yiding Cao
Third Advisor's Committee Title
Committee Member
Keywords
Robotics, Autonomous, Vehicle, Swarm, Sensors, Trackless, Wireless, Controller
Date of Defense
3-30-2017
Abstract
The purpose of this thesis is to explore the current state of automated guided vehicles (AGVs), sensors available for the vehicles to be equipped with, control systems for the vehicles to run on, and wireless technology to connect the whole system together. With a technological push towards increasing automation and maximizing the possible throughput of systems, automated technology needs to improve for trackless and wireless systems such as vehicles that can be used to move loads in a vast array of applications.
The goal of this research is to develop and propose improvements in both vehicle and control system design that allows for improved safety and efficiency. Right now the main issues are maneuverability of vehicles and control systems being adaptive enough to deal with connection issues between systems. While prolonged connection issues will result in a stoppage of operation of any system that relies on wireless communication, intermittent issues can also cause systems to have an emergency stop. I have looked into ways to offload tasks from the central system and allow the vehicles themselves to have more computational privileges such that they can operate in a semi-independent manner.
The result is a proposed system that remedies or limits negative effects that currently cause issues with trackless vehicles and control systems working with remote systems that communicate via wireless means.
Identifier
FIDC001803
Recommended Citation
Jagolinzer, Scott R., "Design and Control of a Dynamic and Autonomous Trackless Vehicle Using Onboard and Environmental Sensors" (2017). FIU Electronic Theses and Dissertations. 3173.
https://digitalcommons.fiu.edu/etd/3173
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