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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 應用力學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60837
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor王立昇
dc.contributor.authorTse-Ming Wuen
dc.contributor.author鄔澤民zh_TW
dc.date.accessioned2021-06-16T10:32:25Z-
dc.date.available2013-08-25
dc.date.copyright2013-08-25
dc.date.issued2013
dc.date.submitted2013-08-14
dc.identifier.citation[1] S. L. Veherencamp, “Individual, kin, and group selection,” in Handbook of Behavioural Neurobiology, Vol. 3, Social Behavior and Communication, 1987.
[2] J. M. Cullen, E. Shaw & H. A. Baldwin, “Methods for Measuring the Three-Dimensional Structure of Fish Schools,” Animal Behavior, Vol. 13, pp. 534-543, 1965.
[3] J. Buhl, D. J. T. Sumpter, I. D. Couzin, J. J. Hale, E. Despland, E. R. Millter & S. J. Simpson,“From Disorder to Order in Marching Locusts,” Science, Vol. 312, pp. 1401-1406, 2006.
[4] R. G. Brown & J. S. Jennings, “A Pusher/Steerer Model for Strongly Cooperative Mobile Robot Manipulation,” IEEE Int’l Conf. Robots and Systems, Vol. 3, pp. 562-568, 1995.
[5] J. Huang, S. M. Farritor, A. Qadi & S. Goddard, “Localization and Follow-the Leader Control of a Heterogeneous Group of Mobile Robots,” IEEE Trans. Mechatronics, Vol. 11, No. 2, Apr. 2006.
[6] P. Misra & P. Enge, Global Positioning System, Ganga-Jamuna, Lincoln, MA, 2006
[7] T. Balch & R. Arkin, “Behavior-based Formation Control for Multi-robot Teams,” IEEE Trans. Robotics and Automation, Vol. 14, pp. 926-939, Dec. 1999.
[8] M. Allen, J. Ryan, C. Hanson & J. Parle, “String Stability of a Linear Formation Flight Control System,” NASA, Technical Memorandum NASA-TM-2002-210733, Aug. 2002.
[9] M. B. Milam, N. Petit & R. Murray, “Constrained Trajectory Generation for Micro-satellite formation Flying,” AIAA Guid., Nav., & Contr., Conf., 2001.
[10] I. Ihle, J. Jouffroy & T. I. Fossen, “Formation Control of Marine Surface Craft: A Lagrangian Approach,” IEEE J. Ocean. Eng., Vol. 31, No. 4, pp. 922-934, 2006.
[11] M. Porfiri, D. G. Roberson & D. J. Stilwell, “Tracking and formation control of multiple autonomous agents: A two-level consensus approach,” Automatica, Vol. 43, pp. 1318-1328, 2007.
[12] Fang-Chieh Chen, “Optimal Virtual Potential Functions in Pseudo-Rigid Formation Design”, Graduate Institute of Applied Mechanics, National Taiwan University Master Thesis, 2010.
[13] H. Choset, K. M. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L. E. Kavraki & S. Thrun, Principles of Robot Motion, MIT, Cambridge, Massachusetts London, England, 2005.
[14] S. Carpin & L. Parker, “Cooperative leader following in a distributed multi-robot system,” in Proc. IEEE Int. Conf. Robotics & Automation, Vol. 3, pp. 2994-3001, 2002.
[15] J. R. T. Lawton, R. W. Beard, & B. J. Young, “A Decentralized Approach to Formation Maneuvers,” IEEE trans on Robotics and Automation, 2003.
[16] E. Lalish, K. A. Morgansen, & T. Tsukamaki, “Formation Tracking Control using Virtual Structures and Deconfliction,” in Proc. IEEE Conf. Decision and Control, 2006.
[17] J. Shao, G. Xie, J. Yu, & L. Wang, “Leader-following formation control of multiple mobile robots,” in Proc. IEEE/RSJ Int. Symp. Intelligent Control, pp. 808-813, 2005.
[18] L. E. Parker, “On the design of behavior-based multi-robot teams,” J. Adv. Robotics, Vol. 10, No. 6, pp. 547-578, 1996.
[19] C. R. McInnes, “Autonomous ring formation for a planar constellation of satellites,” AIAA J. Guidance, Contr., and Dyn., Vol. 18, No. 5, pp. 1215-1217, 1995.
[20] T. Eren, P. N. Belhumeur, & A. S. Morse, “Closing ranks in vehicle formations based rigidity,” in Proc. IEEE Conf. Decision and Control, Vol. 3, pp. 2959-2961, 2002.
[21] H. Cohen, Pseudo-rigid bodies. Utilitas Math., Vol. 20, pp. 221-247, 1981.
[22] H.COHEN, & G.MUNCASTER, “The dynamics of pseudo-rigid bodies: general structure and exact solutions, ” Journal of Elasticity, Vol. 14, Issue 2, pp 127-154,June 1984.
[23] R.G. Muncaster, “Invariant manifolds in mechanics I: the general construction of coarse theories from fine theories,” Arch. Rational Mech. Anal., Vol. 84, pp. 353-373, 1984.
[24] D. Lewis & J. C. Simo, “Nonlinear stability of rotating pseudo-rigid bodies,” in Proc. Roy. Soc. Lon., A 427, pp. 281-319, 1990.
[25] M. Epstein, & R. I. Defaz, “The pseudo-rigid rolling coin,” J. of Applied Mechanics, Vol. 72, pp. 695-704, 2005.
[26] H. M. Peng, L. S. Wang, & Y. H. Pao, “Dynamic Characteristics of Pseudo-Rigid Motions,” Submitted for publication, 2007.
[27] S. L. Hsu, H. M. Peng & L. S. Wang, “Modeling of Radius-varying Wheels as Pseudo-Rigid Bodies and their Stability,” Proceedings of the 2007 Cross-Strait Workshop on Controls, 2007.
[28] W. K. Liu, & L. S. Wang, “Pseudo-rigid formation design,” submitted for journal puplication.
[29] T. Vicsek, A. Czirok, E. B. Jacob, & I. Cohen, “Novel type of phase transition in a system of self-driven particles,” Phys. Rev. Let., Vol. 75, pp. 1226-1229, 1995.
[30] Z.X.Liu, and L. Guo. “Synchronization of Vicsek Model with Large Population,” proceeding of 26th Chinese Control Conference, pp.6-673-6-677,2007
[31] Y. M. Chen & Y. Tsui, “Limitations to the large strain theory. ” Int. J. for Num. Meth. in Eng., 33:101-114, 2001.
[32] S. M. LaValle, “Rapidly-exploring random trees: A new tool for path planning,” TR 98-11, Computer Science Dept., Iowa State University, 1998.
[33] J. J. Kuffner & S. M. Lavalle, “RRT-Connect: An Efficient Approach to Single-Query Path Planning,” IEEE Int’l Conf. Robotics and Automation, 2000.
[34] Perla B. Balbuena, Jorge M. Seminario, Molecular Dynamics From Classical to Quantum Methods, Elsevier,1999.
[35] K. Khoshelham. 'Accuracy analysis of kinect depth data'. GeoInformation Science, 2010.
[36] C. Albitar, P. Graebling, C. Doignon, 'Robust Structured Light Coding for 3D Reconstruction” International Conference on Computer Vision, p.1-6.2007.
[37] 中國科學技術大學, '激光散斑測量', http://www.bb.ustc.edu.cn/jpkc/guojia/dxwlsy/kj/part2/grade3/LaserSpeckle.html
[38] M.R. Andersen, T. Jensen, P. Lisouski, A.K. Mortensen, M.K. Hansen, T.Gregersen and P. Ahrendt, 'Kinect Depth Sensor Evaluation for Computer Vision Applications,' Department of Engineering, Aarhus University. Denmark. 37pp. - Technical report ECE-TR-6, 2012
[39] 蔡政霖、余志成, '家用服務型機器人之同步定位與環境地圖建構” ,中國機械工程學會第二十五屆全國學術研討會,2008
[40] Z. Zhang, “Flexible Calibration by Viewing a Plane From Unknown Orientations” , International Conference on Computer Vision, pp. 666-673, Sep. 1999
[41] Mao-Yu, Chien, “Obstacle Avoidance System Design and Path Planning for An Unmanned Vehicle”, Graduate Institute of Applied Mechanics, National Taiwan University Master Thesis, 2012.
[42] J. Y. Bouguet, “camera Calibration Toolbox for Matlab,” http://www.vision.caltech.edu/bouguetj/calib_doc/
[43] 恩孚電子, “User's Manual”, http://www.elecfreaks.com/
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60837-
dc.description.abstract本論文主旨為進行多載具運動擬剛體編隊法之實驗,整合硬體與路徑規劃演算法,以掌握擬剛體編隊法實際應用時之優缺點,作為編隊設計的參考。
擬剛體編隊法係將擬剛體的形變理論應用在多載具編隊設計上,使多載具隊伍的形狀可由一組空間齊性形變張量來規範,容許隊形旋轉、拉伸以及剪變,相較於剛體隊形,擬剛體隊形更能夠適應複雜度較高的環境。編隊設計則分兩部份:先採用快速探索隨機樹(RRT)為主的策略,加上路徑調整的技巧,規劃出隊伍中心路徑;再設計虛擬位能函數來求解形變張量,即可求出各載具規劃之路徑。
在硬體方面,我們採用利基科技公司所開發的客製化載具進行實驗,其上搭載了超音波感測器、電子羅盤、馬達編碼器、無線通訊模組Zigbee及動力系統。我們並利用微軟公司推出的Kinect來偵測環境資訊,搭配超音波感測器偵測障礙物;載具位置與姿態則由馬達編碼器推算,載具控制器則以Zigbe與主控電腦交換資訊。
各載具之路徑追蹤控制則以模糊控制系統搭配多載具協同機制完成。經實驗證明,多載具擬剛體編隊法確實可行。
zh_TW
dc.description.abstractThe purpose of this thesis is to conduct the experiment of the pseudo-rigid formation design algorithm on the motion of a multi-vehicle system. By integrating the hardware and path-programming algorithm, we are able to know the advantages and disadvantages of this formation design method for further design references.
The algorithm adopted in this thesis applies the pseudo-rigid body theory to the formation design, which is determined by a homogenous deformation tensor such that rotation, stretch, and shear are allowed. This gives pseudo-rigid formation a better adaptability to environments of higher complexity, comparing to rigid body formation design. In the method, the Rapidly-Exploring Random Tree (RRT) method is first used along with the techniques of route adjustment to obtain the route of the system’s center. The deformation matrix is then found by using the method of virtual potential function, from which the route of each vehicle is computed.
To implement the algorithm, customized vehicles are used, on which ultrasonic sensors, electric compass, motor encoder, Zigbee module, and motors are installed. We also utilize Microsoft’s Kinect to detect environmental objects, collaborating with ultrasonic sensors to detect obstacles. The vehicles’ positions and attitudes are calculated by motor encoder, and the controller on the vehicle uses Zigbee to exchange information with the computer.
Route following is done by fuzzy control system for each vehicle and the coordinated control algorithm for the multi-vehicle system is designed. Experimental results show that the pseudo-rigid formation design algorithm for a multi-vehicle system is feasible.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T10:32:25Z (GMT). No. of bitstreams: 1
ntu-102-R00543041-1.pdf: 3450735 bytes, checksum: e6797a8b77cd9de63cf4ee60a12ee446 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents誌謝 i
中文摘要 ii
ABSTRACT iii
目錄 iv
圖目錄 vii
表目錄 x
第一章 緒論 1
1.1 前言 1
1.2文獻回顧 2
1.2.1多載具路徑規劃 2
1.2.2擬剛體簡介 3
1.3 研究內容 3
1.4 論文架構 3
第二章 擬剛體隊型設計與路徑規劃 5
2.1 擬剛體 5
2.1.1擬剛體特性 5
2.1.2擬剛體隊形表示法 8
2.2 隊伍中心路徑規劃 11
2.2.1快速探索隨機樹(Rapidly-Exploring Random Tree) 12
2.2.2路徑縮短 13
2.2.3 虛擬力場 14
2.2.4貝茲曲線平滑 16
2.2.5 禁止路徑 17
2.3編隊設計 18
2.3.1 Lennard-Jones potential介紹 18
2.3.2內部虛擬位能函數設計 19
2.3.3外部虛擬位能函數設計 20
2.3.4 虛擬位能函數分析 21
第三章 硬體架構與系統整合 24
3.1 硬體架構 24
3.1.1 Kinect 感測器 25
3.1.2 超音波感測器 28
3.1.3 馬達編碼器(encoder) 30
3.2 整體系統架構 31
第四章 控制器設計與避障 32
4.1 載具運動方程式 32
4.2 載具路徑追蹤控制 33
4.3 多載具協同控制 39
4.4 近距避障系統設計 40
第五章 實驗結果 41
5.1 超音波即時避障實驗 41
5.2單無人載具控制實驗 42
5.3多載具擬剛體編隊實驗 43
5.4 外部攝影機進行實驗之載具定位 46
第六章 結論與未來方向 50
參考文獻 51
dc.language.isozh-TW
dc.subject擬剛體zh_TW
dc.subject編隊zh_TW
dc.subject多載具zh_TW
dc.subject快速探索隨機樹zh_TW
dc.subject模糊控制zh_TW
dc.subjectmulti-vehicleen
dc.subjectRRTen
dc.subjectfuzzy controlen
dc.subjectFormationen
dc.subjectPseudo-Rigid Bodyen
dc.title擬剛體編隊設計與實驗zh_TW
dc.titleDesign and Experiment of Pseudo-Rigid Formationen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.coadvisor張帆人
dc.contributor.oralexamcommittee王伯群,卓大靖,連豊力
dc.subject.keyword擬剛體,編隊,多載具,快速探索隨機樹,模糊控制,zh_TW
dc.subject.keywordPseudo-Rigid Body,Formation,multi-vehicle,RRT,fuzzy control,en
dc.relation.page54
dc.rights.note有償授權
dc.date.accepted2013-08-14
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept應用力學研究所zh_TW
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