Trajectory Tracking Control of Omnidirectional Automated Guided Vehicles Using Laser Sensor
- Abstract
- Today, Automated Guided Vehicles (AGVs) are used in many factories and modern hospital. Automated guided vehicle (AGV) applications in the automotive industry include automated raw material delivery, automated work in process move-ments between manufacturing cells, finished goods transport, etc. Omnidirectional AGV (OAGV) is one of principal requirement for AGVs designed for health gen-eral-hospital services.
This dissertation is about control of OAGV for tracking a trajectory using laser sensor. The OAGV consists of three independent driving omnidirectional wheels which equally are spaced at 1200 from one another. In this dissertation, the following five problems are considered.
First, a structure of the OAGV used for experiment is proposed. A real OAGV system is developed with several interconnected devices such industrial computer as main controller, monitor, keyboard, mouse, DC servo drivers, etc. A laser sensor device NAV-200 is used to detect the OAGV posture in indoor environment in real time.
Second, mathematical modelings of the OAGV with three driving omnidirec-tional wheels in the presence of disturbance and friction with unknown parameter are presented. A kinematic modeling of OAGV under its center of gravity coincident with its geometric center is presented and called as kinematic modeling 1 of OAGV and a dynamic modeling of the OAGV under bounded uncertain friction and slip disturbance force vector is presented and called as dynamic modeling 1 of OAGV. A kinematic modeling and a dynamic modeling of the OAGV under its center of gravi-ty different from its geometric center and step change of mass due to load change without disturbance are presented and called as kinematic modeling 2 and dynamic modeling 2, respectively.
Third, based on the kinematic modeling 1 of OAGV, a decentralized algorithm for motion control of OAGV is introduced. Using the proposed decentralized algo-rithm, a trajectory tracking controller based on PD fuzzy logic is proposed. Firstly, the posture of OAGV including position and orientation is measured using laser-based localization sensor. Secondly, from the measured posture and the desired pos-ture, a posture error is defined. Thirdly, based on the posture error, a decentralized control strategy based on PD fuzzy controller is developed for OAGV to track a de-sired curved path at a given bounded velocity. The effectiveness of the developed decentralized algorithm and the proposed trajectory tracking control strategy are demonstrated through simulations and experiments.
Fourth, based on the dynamic modeling 1 of the OAGV system, an adaptive con-troller is designed for simultaneous stabilization and trajectory tracking such that OAGV follows a reference trajectory with sharp edges. The system stability is guar-anteed by the Lyapunov stability theory. The simulation and experimental result are presented to illustrate the effectiveness of the proposed tracking controller.
Finally, based on the kinematic modeling 2 and dynamic modeling 2 of the OAGV, an adaptive sliding mode controller and an update law are designed for OAGV to track a reference trajectory with 2 curved lines and 3 straight lines. The system stability is guaranteed by the Lyapunov stability theory. Simulation and ex-perimental results are presented to demonstrate the effectiveness of the proposed controller and the update law.
Keywords: Omnidirectional Automatic Guided Vehicle (OAGV), Omnidirec-tional Wheels, Three Wheels, Decentralized Algorithm, PD Fuzzy Controller, Center of Mass, Load Change, Adaptive Control Theory.
- Author(s)
- ThanhLuanBui
- Issued Date
- 2014
- Awarded Date
- 2014. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/12351
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001967216
- Affiliation
- 대학원
- Department
- 대학원 메카트로닉스공학과
- Advisor
- 김상봉
- Table Of Contents
- Contents
Acknowledgements
Contents i
Abstract iv
List of Figures vii
List of Tables x
Nomenclatures xi
Chapter 1: Introduction 1
1.1 Background and Motivation 1
1.1.1 Adaptive Technique 5
1.1.2 Laser Sensor for Navigation 6
1.2 Objective of This Dissertation 7
1.3 Outline of the Dissertation and Summary of Contributions 9
Chapter 2: Structure of System 13
2.1 System Description 13
2.2 Electrical Design 16
2.3 Sensor 17
2.4 Controller 22
2.5 Actuator 25
Chapter 3: Modeling of OAGV System 28
3.1 Geometric Configuration 28
3.2 Mathematical Modeling 29
3.2.1 Kinematic Modeling 1 30
3.2.2 Dynamic Modeling 1 33
3.2.3 Kinematic Modeling 2 37
3.2.4 Dynamic Modeling 2 41
Chapter 4: Decentralized Motion Control for OAGV’s Tracking a Trajectory Using PD Fuzzy Controller 44
4.1 Introduction 44
4.2 Decentralized Algorithm for Motion Control of OAGV 44
4.3 Trajectory Tracking Controller Design 53
4.3.1 Trajectory tracking error 53
4.3.2 PD fuzzy controller 54
4.4 Simulation and Experimental Results 58
4.5 Summary 65
Chapter 5: Tracking Control of the Omnidirectional Automated Guided Vehicles Using Adaptive Controller 68
5.1 Introduction 68
5.2 Adaptive Controller Design for the OAGV 68
5.3 Simulation and Experimental Results 75
5.4 Summary 84
Chapter 6: Tracking Control of the OAGV Using Adaptive Sliding Mode Controller with Center of Gravity Different from Geometric Center and Load Change 86
6.1 Introduction 86
6.2 Adaptive Sliding Mode Controller Design for the OAGV 86
6.3 Simulation and Experiment Result 92
6.4 Summary 104
Chapter 7: Conclusions and Future Works 107
7.1 Conclusions 107
7.2 Future Works 113
References 115
Publications and Conferences 121
A. Publication, accepted and Submitted Papers 121
B. Conference Papers 123
Appendix A 125
Appendix B 128
Appendix C 131
Appendix D 138
- Degree
- Doctor
-
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