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研究生：	周毅安 Guilherme Christmann
論文名稱：	人形機器人於電動機車之平衡與轉向控制 Balance and Steering Control of a Humanoid Robot on an Electric Scooter
指導教授：	包傑奇 Jacky Baltes
學位類別：	碩士 Master
系所名稱：	電機工程學系 Department of Electrical Engineering
論文出版年：	2021
畢業學年度：	109
語文別：	英文
論文頁數：	58
英文關鍵詞：	Humanoid Robotics, Classical Control
DOI URL：	http://doi.org/10.6345/NTNU202100111
論文種類：	學術論文
相關次數：	點閱：198 下載：5
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上一筆

Autonomous vehicles and (humanoid) robotics are two fields that have greatly benefited from the rapid pace of development of deep learning systems. With intricate systems, it is possible to perform complex tasks and behaviors directly from raw sensor data. In light of recent developments in the aforementioned fields, it is necessary to start making efforts towards challenges that lie on their junction. From the perspective of humanoid robots, if we want to reach truly general-purpose robots it is of importance that they are capable of operating in any human environment. That includes the operation of vehicles, which we believe pose an interesting challenge for the state-of-the-art in both fields. This work focuses on the control and operation of a two-wheeled scooter using a large sized humanoid robot. A 3D model of the robot and scooter system was developed using CAD software, as well as physics based simulation environments. The subject of this study was the development of a steering-based control system. Two controllers were developed, analyzed and compared: a PID controller and a reinforcement learning control. Both controls were able to balance and track trajectories, and both performed better under different conditions. Advantages and limitations of applying these controllers to the real robot are also discussed.

Acknowledgements  i
Abstract  ii
Table of Contents  iii
List of Tables  v
List of Figures  vi
List of Symbols  x
Chapter 1 Introduction  1
1 Aims and Objectives  2
1.1 General Aim  3
1.2 Objectives  3
Chapter 2 Literature Review  4
1 Two-wheeled Vehicle Dynamics  4
2 Reinforcement Learning  7
2.1 PPO Proximal Policy Optimization  9
Chapter 3 Robot -Scooter System  12
1 The Two -Wheeled Vehicle Gogoro Scooter  12
2 The Robot THORMANG3  13
3 Robot-Scooter System  15
Chapter 4 Methodology  17
1 PID Controller  17
1.1 Balance Control  17
1.2 Direction Control – Path Tracking  18
2 RL Agent – PPO  20
2.1 Balance Control  21
2.2 Commanded Control – Path Tracking  22
Chapter 5 Results and Discussion  24
1 Balance Control – PID Controller  24
1.1 PID – Upright Balance (Tilt Reference = 0°)  24
1.2 PID – Balance while turning (Tilt Reference ≠ 0°)  26
1.3 PID – Upright Balance under Disturbances (Tilt Reference = 0)  27
2 Balance Control – RL Agent  29
2.1 RL – Upright Balance (Tilt Reference = 0°)  30
2.2 RL – Upright Balance under Disturbances (Tilt Reference = 0)  32
3 Path Tracking Control PID Controller  35
3.1 PID – Tracking Sinusoidal Path  36
3.2 PID – Tracking Straight Line Path  38
3.3 PID – Tracking Straight Line Path under Disturbances  40
4 Path Tracking – RL Agent  42
4.1 RL Agent – Tracking Sinusoidal Path  43
4.2 RL Agent – Tracking Straight Line Path  46
4.3 RL Agent – Tracking Straight Line under Disturbances  49
5 Comparing the PID controller and the RL agent  50
6 Real Robot Steering Velocity Test  52
Chapter 6 Conclusion and Future Work  54
References  56
                                

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