遠端機械手臂控制及路徑規劃之研究

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姓名

張顥騰(Hao-teng Chang) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

遠端機械手臂控制及路徑規劃之研究
(Research on Remote Robotic Arm Control and Trajectory Generation)

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摘要(中)

隨著工業自動化、工業4.0與智慧製造的概念興起，機械手臂漸漸取代人力成為自動化工業中重要的一環。由於機械手臂具有可重複設定、多功能、多自由度並具備自動控制功能，且能透過程式設計完成忠實、無變異且高準確度的反覆動作，在工業上常被使用在如裝配、加工、焊接、切削…等重複性高且危險的工作上。
因使用者介面的定義是讓使用者能更有效率的去操作硬體，故在工業中常跟機械手臂相互配合以達到最佳的效能，此組合除了能讓產能提高，還能在產線中的機械手臂能即時回報狀況，以避免更大的損失。除此之外，機械手臂與使用者介面的組合還可以導入人工智慧、類神經網路、視覺感測器…等自動化工具讓機械手臂能更靈活且更有效率的去達成任務。
本研究所使用的機械手臂是本實驗室開發的低成本輕量化機械手臂，藉由搭配使用者介面(UI)、串列通訊、微控制器與機械手臂來建構一套簡易系統來實作自動化技術，並以此為基礎進而發展出規模更大的自動工廠或工業4.0…等概念。

摘要(英)

With the concepts of automation and Industry 4.0 rise and develop, robotic arms recently take place of manpower resource become the important element in the industries use the automation. Because robotic arms have multi-function, high accuracy and automatic, so they are mainly being used to manufacture, welding or other tasks which is reduplicate and dangerous.
Robotic arms always cooperate with user interface to increase production capacity because the purpose of user interface is to make user operate hardware efficiently. In addition, user interface also can report the error message and hardware situation to prevent great loss.
The robotic arm been used in the research is a low-cost palletizing robot which cooperate with user interface, universal synchronous asynchronous receiver/transmitter, and microcontroller to build a simple system to realize automation. And then based on this simple system we can develop extensive system like automated factory.

關鍵字(中)

★ 使用者介面
★ 機械手臂
★ 微控制器

關鍵字(英)

★ User interface
★ Robotic arm
★ Microcontroller

論文目次

目錄
摘要 I
Abstract II
誌謝 III
圖目錄 VII
表目錄 IX
第1章緒論 1
1.1 前言 1
1.2 文獻回顧 1
1.3 研究目標 3
1.4 論文架構 3
第2章機器人運動學 4
2.1空間幾何描述與運動學 4
2.1.1 Denavit-Hartenberg 參數表示法 6
2.1.2 順向運動學(Forward Kinematics) 9
2.1.3 逆向運動學(Inverse Kinematics) 11
2.2 運動軌跡規劃 14
第3章使用者介面、串列通訊與硬體 16
3.1 使用者介面 16
3.1.1 物件導向程式設計 17
3.1.2 Visual Basic 與 Visual Studio 2017 18
3.2 串列通訊 19
3.3 USART 21
3.3 硬體簡介 22
3.3.1 Adafruit FT232H Breakout模組 22
3.3.2 Arduino Uno 23
3.3.3 Atmel-ICE 24
3.3.4 A4988步進馬達驅動器 25
3.3.5步進馬達 27
第4章系統架構與設計方法 28
4.1 整體系統架構 28
4.2 使用者介面架構 28
4.2.1 串列通訊參數設定區域 29
4.2.2 座標輸入區域與監控視窗 31
4.2.3 機械手臂限制範圍 32
4.2.3 系統訊息區域 35
4.3 硬體設定 35
4.3.1 Arduino Uno USART 35
4.3.2 Arduino GPIO 38
4.3.3 硬體程式流程圖 39
第5章實驗結果討論、結論與未來展望 41
5.1 實驗結果分析與討論 41
5.2 單軸位移 42
5.3 多軸同時位移 43
第6章結論與未來展望 45
6.1 結論 45
6.2未來展望 45
參考文獻 46

參考文獻

[1] Pires J.N., Sa da Costa J.M.G, “Running an industrial robot from a typical personal computer”, IEEE International Conference On Electronics, Circuits and Systems. Surfing the Waves of Science and Technology(Cat No.98EX196), 1998
[2]Zhou Y., de Silva C.W. “Real-time Control experiments using an industrial robot retrofitted with an open-structure controller”, Proceedings of IEEE Systems Man and Cybernetics Conference – SMC, 1993
[3] Kim J.,Lee W., Yang H., and Lee Y., “Real-time monitoring and control system of an industrial robot with 6 degrees of freedom for grinding and polishing of aspherical mirror”, ICEIC(International Conference on Electronics, Information, and Communication) , 2018
[4] Tzafestas C.S., Palaiologou N. and Alifragis M., “Virtual and Remote Robotic Laboratory: Comparative Experimental Evaluation”, IEEE TRANSACTIONS ON EDUCATION, VOL. 49, NO. 3, AUGUST 2006.
[5] Fang X., Li C. and Gu H., “Path generation and tuning with touchscreen device for industrial robot”,IEEE International Conference on Robotics and Biomimetics(ROBIO), 2017
[6] Du Y.Y., “Trajectory pre-compensation algorithm for improving the path accuracy of industial robots”, International Conference on Advanced Robotics and Intelligent System(ARIS), 2017
[7] Nagata F., Yoshitake S., Otsuka A., Habib M.K. and Watanabe K., “CAM system without using robot language for and industrial robot RV1A”,IEEE Internation Symposium on Industrial Electronics, 2012
[8] Tellaeche A., Maurtua I., and Ibarguren A., “Use of machine vision in collaborative robotics: An Industrial case”, IEEE 21st International Conference on Emerging Technologies and Factory Automation(ETFA), 2016
[9] Shu T., Gharaaty S., Xie W., Joubair A., and Bonev I.A., “Dynamic Path Tracking of Industrial Robots With High Accuracy Using Photogrammetry Sensor”, IEEE/ASME Transactions on Mechatronics(Volume: 23, Issue: 3), June 2018

[10] Moreno R.J., and Lopez D.J., “Trajectory planning for a robotic mobile using fuzzy c-means and machine vision”, Symposium of Signals, Images and Artificial Vision(STSIVA), 2013
[11] Rahmani B., and Belkheiri M., “Adaptive state feedback control of robotic manipulators using neural networks”, International Conference on Electrical Engineering– Boumerdes(ICEE-B), 2017 5th
[12] Gao H., He W., Zhou C., and Sun C., “Neural Network Control of a Two-Link Flexible Robotic Manipulator Using Assumed Mode Method”, IEEE Transactions on Industrial Informatics”, 2018
[13] Ding L., Li S., Gao H., Chen C., and Deng Z., “Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems”, IEEE Transactions on System, Man, and Cybernetics: System, 2018
[14] Esteban Villegas H.S., Aldana Afanador A.F., and Roa Prada S., “Mechatronic system desing of a cake decoration robotic module using a SCARA manipulator”, IEEE 3rd Colombian Conference on Automatic Control(CCAC), 2017
[15] Feng F., Hu H., Guo Z., “Application of genetic algorithm PSO in parameter identification of SCARA robot”, Chinese Automation Congress(CAC), 2017
[16] Su T., Cheng L., Wang Y., Liang X., Zheng J., and Zhang H., “Time-Optimal Trajectory Planning for Delta Robot Based on Quintic Pythagorean-Hodograph Curves”, IEEE Access(Volume: 6), 2018
[17] Liu Y., Xu Y., Hao L., and Cheng H., “Design of palletizing robot’s control system with joint flexibility considered”, IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems(CYBER), 2016
[18] Guan X., and Wang J., “Mechanical design and kinematic analysis of a new kind of palletizing robot”, Second International Conference on Mechanic Automation and Control Engineering, 2011
[19] Li W., Liu G., Bi S., Chen T., and Liu C., “One circle trajectory planning method for palletizing robot”, The International Conference on Advanced Mechatronic Systems, 2012

[20] 劉泳諒，「低成本輕量化機械手臂之研究」，國立中央大學機械工程研究所，碩士論文，2016
[21] Craig J.J., “Introduction to Robotic - Mechanical and Control”, Pearson Education, Inc., Third Edition, 2005
[22] ISO 9241, Ergonomics of Human System Interaction
[23] ISO 9241-125, Ergonomics of Human System Interaction – Part 125: Guidance on visual presentation of information, 2017
[24] ISO 9241-110, Ergonomics of Human System Interaction – Part 10: Dialogue principles, 2016
[25] ISO 9241-11, Ergonomics of Human System Interaction – Part 11: Usability: Definitions and concepts, 2018

指導教授

黃衍任(Yean-Ren Hwang)

審核日期

2018-7-26

推文