PUKYONG

A Study on Motion Control System Design for an Unmanned Aerial Vehicle with Single Ducted-Fan

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Alternative Title
단일 덕트형 추진장치를 갖는 무인비행체의 운동제어시스템 설계에 관한 연구
Abstract
In the modern technology era, the development of automatic flight control and
technologies directly applied to the military and civilian fields have gradually evolved. Since
the early 1950s, several types of technology of unmanned aerial vehicles (VTOL UAVs) have
been researched such as helicopters, quadrotors, missiles, etc. Among them, the single
ducted-fan unmanned aerial vehicle (DUAV) technology has grown based on its
characteristics. Moreover, the single DUAV system has successfully demonstrated
departures from unprepared sites, ship deck spaces, moving trucks, and so forth, because of
its high maneuverability and efficiency in flight trajectory.
However, the ducted-fan vehicle has been normally subjected to turbulent environments
and gusty winds. The single DUAV system is mainly required to accurately follow a
predefined trajectory, especially, the landing process should as well be considered as one of
the most important aspects in the development of control systems. Obviously, the landing
operation is defined consist of lowering the altitude and performing the yaw motion. However,
the aerodynamic forces and moments which acted on the single DUAV including several
elements as air conditions of the environment often appear uneven aerodynamic forces. And, other parts are constants such as body force, buoyancy, and so forth. They result in high
nonlinearities, parametric uncertainties, and unknown disturbance and make the motion
control difficult. Particularly, the high nonlinearities—unpredictable factors, for instance—
can lead to the single DUAV’s instability.
To cope with these issues, this dissertation aims to present a new studying control
strategies for the altitude and the yaw angle motions in the landing process of the single
DUAV by proposing mathematical modeling and designing control methods with several
approaches. In this dissertation, instead of modeling the directly entire dynamics motion of
the whole single DUAV system, the proposed modeling strategy based on the decentralized
and motion controls is designed. These targets are completely carried in this dissertation out
as follows
Firstly, the description and mathematical model of the single DUAV system are greatly
illustrated. The configuration of the single DUAV system consists of mechanical and
electrical designs, and a prototype is developed for experiment tests. Accordingly, the
decentralized model of the altitude and the yaw motion of the single DUAV system is
identified by using experimental datasets and MATLAB Identification System Toolbox.
Secondly, the altitude motion control of the single DUAV is essentially considered. In
this correspondence, an extension of pole-placement control by combining the pole placement and feedback linearization control with fuzzy law (F-PPFC) is approached. The
tracking issues as well as reducing the chattering phenomenon and arbitrarily exploiting the
numeric control gains by the fuzzy law are covered by the proposed control. Additionally,
this method has been the separation from the physical parameters of the system by using
feedback linearization theory. The stability of the F-PPFC control is guaranteed by the
Lyapunov theory. To consolidate the satisfactory performance of the proposed F-PPFC
control, simulation and experiment tests are implemented by a comparison of the
performance of a PID method with the Ziegler-Nichols tuning and a conventional sliding
mode control.
Thirdly, the yaw motion control of the single DUAV has been intended to design as the
next step of the landing process. To cope with the uncertainties and unknown disturbance,
the novel combination of a robust adaptation law and the pole-placement control (RAPPC)
is accomplished. Here, pole-placement control is a strong solution for controlling linear
systems with nominal physical parameters. Additionally, the adaptation with the sigma modification law has been designed to compensate for the uncertainties and bound unknown
disturbance of the single DUAV system. Besides, the characteristic polynomial of the
proposed RAPPC scheme is guaranteed to be uniformly ultimately bounded using the
Lyapunov stability theory. To assert the practical feasibility of the RAPPC control,
simulation tests with RAPPC without sigma-modification law and PID controls are
conducted. Next, experiments are implemented between the RAPPC and PID controllers.
Finally, the parametric uncertainties and unknown disturbance have been considered to
handle with as the above-mentioned solution; nevertheless, the single DUAV system also
exists the other high nonlinearities. In particular, one of the high nonlinearities is undesirable
factors, for instance, which can lead to the single DUAV’s instability. For clearly, the power
systems may lose one or two of their steering actuators of rudders during their mission, which
will reduce the control performances of the whole single DUAV system. This is an
undesirable situation that requires the designed control scheme with unchanged control gains
to increase the power capacity of the remaining actuators of rudders. For this purpose, an
adaptive super-twisting sliding mode with a time-delay estimation technique (ASTSMCTDE) is proposed. The global stability of the proposed control is guaranteed by the Lyapunov
theory. Besides, a comparison between the ASTSMC-TDE and a PID controller was
implemented. The performance of the comparison is investigated through two different
operation modes, namely the normal and abnormal modes. Moreover, to validate the practical
feasibility of the proposed control, simulations and experimental tests were conducted.
Author(s)
TRAN MINH THIEN
Issued Date
2022
Awarded Date
2022. 2
Type
Dissertation
Keyword
pole-placement control adaptive control super-twisting sigma modification time-delay estimation fuzzy law sliding mode control DUAV system
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/24417
http://pknu.dcollection.net/common/orgView/200000605545
Alternative Author(s)
Minh-Thien Tran
Affiliation
Pukyong National University, Graduate School
Department
대학원 스마트로봇융합응용공학과
Advisor
Young-Bok Kim
Table Of Contents
Chapter 1. Introduction 1
1.1 Background and motivation 1
1.2 Problem statements 6
1.3 Objective and researching methods 8
1.4 Outline of the dissertation 10
Chapter 2. Induction of the Single DUAV Description and Modeling 13
2.1 Single DUAV System Descriptions 13
2.1.1 A general description of the single DUAV system 13
2.1.2 Mechanical design 14
2.1.3 Electrical design 19
2.1.4 Implementation of controlling system 22
2.2 Single DUAV System Dynamics Modeling 23
2.2.1 A case study on single DUAV system modeling 23
2.2.2 System identification 28
2.3 Summary 36
Chapter 3. Altitude Control Design Using Extension of Pole-Placement with Feedback Linearization and Fuzzy Law 38
3.1 Introduction 38
3.2 Control Designs 39
3.2.1 Pole-placement with feedback linearization and fuzzy law 39
3.2.2 Conventional sliding mode control 44
3.2.3 Ziegler – Nichols tuning PID control 46
3.3 Simulation Studies 47
3.3.1 Simulation setup 47
3.3.2 Simulation results 48
3.4 Experiment Studies 52
3.4.1 Experiment setup 52
3.4.2 Experiment results 54
3.5 Summary 59
Chapter 4. Angular Motion Control Design Using Robust Adaptive Pole Placement Scheme in Presence of Bounded Disturbance 60
4.1 Introduction 60
4.2 Control Design 61
4.2.1 Adaptive pole-placement control in the presence of bounded disturbance 61
4.2.2 PID control 67
4.3 Evaluation Methods 67
4.4 Simulation Studies 68
4.4.1 Simulation setup 68
4.4.2 Simulation results 69
4.5 Experiment Studies 73
4.5.1 Experiment setup 73
4.5.2 Experiment results 73
4.6 Summary 78
Chapter 5. Adaptive Super-Twisting Sliding Mode Scheme with TimeDelay Estimation Technique for Angular Motion Control 80
5.1 Introduction 80
5.2 Control Designs 81
5.2.1 Adaptive super-twisting sliding mode control with the time-delay estimation technique 83
5.2.2 PID control 91
5.3 Evaluation Methods 92
5.4 Simulation Studies 93
5.4.1 Simulation setup 93
5.4.2 Simulation results 94
5.5 Experimental Studies 102
5.5.1 Experimental setup 102
5.5.2 Experimental results 103
5.6 Summary 114
Chapter 6. Conclusions and Future Works 116
6.1 Conclusions 116
6.2 Future works 118
References 119
Publications and Conferences 130
Appendix A 135
Appendix B 136
Appendix C 139
Degree
Doctor
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