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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物機電工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63965
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dc.contributor.advisor周瑞仁(Jui-Jen Chou)
dc.contributor.authorMei-Wen Fangen
dc.contributor.author方玫文zh_TW
dc.date.accessioned2021-06-16T17:24:39Z-
dc.date.available2017-08-28
dc.date.copyright2012-08-28
dc.date.issued2012
dc.date.submitted2012-08-16
dc.identifier.citationAdvantech, 2010, PCM-3362 datasheet, Available at: www. Advantech.com. Accessed 23 March 2011.
Astrom, K. J., R. E. Klein, and A. Lennartsson, 2005, “Bicycle Dynamics and Control,” IEEE Control Systems Magazine, vol. 25, no. 4, pp.26–47.
Getz, N. H., and J. E. Marsden, 1995, “Control for an Autonomous Bicycle”, IEEE International Conference on Robotics and Automation,Nagoya.
Hirai, K., M. Hirose, Y. Haikawa and T. Takenaka, 1998, “The Development of Honda Humanoid Robot,” Proceedings of the 1998 IEEE ICRA, Belgium, pp. 1321-1326.
Kemalettin, E., O. Akihiro, O. Keisuke, T. Taro, and K. Atsuo, 2002, “A Study on the Zero Moment Point Measurement for Biped Walking Robots,” IEEE 7th International Workshop on Advanced Motion Control, Slovenia, pp.431-436.
Masaya, K., Y. Kohei, S. Yoshiaki, O. Hiroshi, Y. Hideo, and I. Masami, H. Shoshiro, 2008, “Support Control to Promote Skill of Riding a Unicycle,” IEEE International Conference on Systems, Man and Cybernetics, Singapore, pp. 2202-2206.
Yamakita, M. and A. Utano, 2005, “Automatic Control of Bicycles with a Balancer,” IEEE International Conference on Advanced Intelligent Mechatronics, Monterey, California, USA, pp. 24-28.
Sharp, R. S., 1970, “The Stability and Control of Motorcycles,” Journal Mechanical Engineering Science, vol. 13, no. 5, pp. 316-320.
Sparkfun, 2010, Ultimate IMU-v12, Available at: www.sparkfun.com. Accessed 20 April 2011.
Suryanarayanan, S., M. Tomizuka, and M. Weaver, 2002, “System Dynamics and Control of Bicycles at High Speeds,” Proceedings of the American Control Conference, Anchorage, pp. 845-850.
Sugihara, T., Y. Nakamura, and H. Inoue, 2002, “Realtime Humanoid Motion Generation through ZMP Manipulation Based on Inverted Pendulum Control,” Proc. of the 2002 ICRA, Washington, pp.1404-1409.
Sharma, H. D., and Umashankar N., 2006, “A Fuzzy Controller Design for an Autonomous Bicycle System,” IEEE ICEIS, Islamabad, pp.498–503.
Takanishi, I., and K. Yamazaki, 1985, “Realization of Dynamic Walking on Biped Locomotion Robot WL-10RD,” Journal of Robotic Society of Japan, vol. 3, No. 4, pp. 67-78.
Tanaka, Y., and T. Murakami, 2004, “Self Sustaining Bicycle Robot with Steering Controller,” IEEE AMC, Kawasaki, Japan, pp.193-197.
Umashankar, N., and H. D. Sharma, 2006, “Adaptive neuro - fuzzy controller for stabilizing autonomous bicycle,” IEEE ICEIS, China, pp. 1652-1657.
Vukobratovic, M., and D. Juricic, 1969, “Contribution to the Synthesis of Biped Gait,” IEEE Trans. Biomed. Eng., vol. 16, no. 1, pp. 1–6
Vukobratovic, M., and B. Borovac, 2004, “Zero-Moment Point — Thirty Five Years of Its Life”, International Journal of Humanoid Robotics, Vol. 1, No. 1, pp157–173.
Wu, J. Y., 2007, “Design and Control of a Biped Robot,” Master Thesis, Department of Mechanical Engineering, National Taiwan University.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63965-
dc.description.abstract本論文旨在發展自動導引自行車系統,並引入零力矩點(Zero Moment Point, ZMP)觀念,設計出自動導引自行車之平衡控制器。本研究所發展之自動導引自行車系統包含三個主要部分:一般自行車改裝而成的平台、控制器及用來偵測自行車傾斜角與速度的感測器。控制器會先接收感測器的資料,經過處理後轉換成自行車的傾斜角與速度並輸入至控制器中,再經轉向與前進機構模組,控制自行車龍頭轉角來達到平衡。在此系統中,用來控制自行車平衡的變數為龍頭轉角,從零力矩點的路徑可以看出自行車是否平衡,以自行車兩輪接地點的連線作為支撐多邊形,將零力矩點控制在此連線上,便能使自行車達到平衡。本研究設計出一零力矩點追蹤控制器,控制龍頭轉角造成零力矩點的位移,進而使得自行車維達到平衡。根據模擬結果,自行車不管是走直線還是圓形軌跡時,零力矩點的位置皆在0附近振盪,顯示零力矩點追蹤控制能使得自行車達到平衡。在實地測試中,自行車在9秒內可以自我平衡,造成模擬與實測結果不同的原因如下:機械系統無法預期的振動、路面狀況不平均以及模擬時的動力學模型過於簡化等等,因此未來將裝設平衡質量塊於自動導引自行車系統上,用以控制質心位置,增加控制變數,幫助平衡控制。zh_TW
dc.description.abstractThis study modifies a common bicycle into an autonomous with the proposed zero moment point (ZMP) tracking approach for balancing. The autonomous bicycle system in this study consists of three major parts: a platform modified from a general bicycle, controller, and sensors. The controller will receive the data from sensors and convert them into the lean angle and the forward velocity of the bicycle. Then, the controller will drive the motor on the handlebar in order to keep balance by controlling the steer angle. The control variable used in this study is the steer angle on the handlebar. The ZMP trajectory represents whether the bicycle is balance or not. The objective for balance control is to make the position of the ZMP within the supporting polygon which is the line between the grounding point of the front and the grounding point of the rear wheel.
The simulation results show that the position of ZMP always converges to 0 m. It indicates that ZMP tracking control strategy can keep the bicycle balance when the bicycle moves along a straight or circular trajectory. And once disturbance occurs in the system, the lean angle will oscillate. In the field test, the bicycle will be balance in a period of time about 9 s. The reasons why the results between simulation and field test are so different might be the unpredictable vibration from mechanism, the uneven ground and the oversimplified dynamic model. Thus, one control input may not be enough to keep the autonomous bicycle system balance. The balancers could be added for one more control variable in the future work.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T17:24:39Z (GMT). No. of bitstreams: 1
ntu-101-R99631013-1.pdf: 2552615 bytes, checksum: 1ac6757d007a2c149a085d0ef9e6d13a (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents論文口試委員審定書 i
誌謝 ii
摘要 iii
Abstract iv
Table of Contents vi
List of Figures viii
List of Tables x
Chapter 1 Introduction 1
Chapter 2 Literature Review 3
2.1 Bicycle Dynamic Model 3
2.2 Autonomous Bicycle System 4
2.3 Zero Moment Point 5
Chapter 3 Materials and Methods 7
3.1 System Structure 7
3.1.1 Platform and Sensors 8
3.1.2 Control System 12
3.2 Control Strategy 14
3.2.1 Dynamic Model 14
3.2.2 Kinematic Model of Bicycle 19
3.2.3 Zero Moment Point (ZMP) 20
3.2.4 Control with ZMP Tracking 21
3.2.5 Balancer on Bicycle 23
3.2.6 Signal Processing 25
3.3 Software Design 28
3.3.1 Development Environment 28
3.3.2 Program Structure 29
Chapter 4 Results and Discussion 31
4.1 Simulation 31
4.2 Field Test 38
Chapter 5 Conclusions 42
References 44
dc.language.isoen
dc.subject平衡控制zh_TW
dc.subject自動導引自行車zh_TW
dc.subject零力矩點zh_TW
dc.subject追蹤控制zh_TW
dc.subjectZero Moment Point (ZMP)en
dc.subjectAutonomous Bicycleen
dc.subjectBalance Controlen
dc.subjectTracking Controlen
dc.title應用零力矩點追蹤法於自動導引自行車之平衡控制zh_TW
dc.titleControl of Autonomous Bicycle System with ZMP Trackingen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃安橋,郭彥甫
dc.subject.keyword自動導引自行車,平衡控制,零力矩點,追蹤控制,zh_TW
dc.subject.keywordAutonomous Bicycle,Balance Control,Zero Moment Point (ZMP),Tracking Control,en
dc.relation.page46
dc.rights.note有償授權
dc.date.accepted2012-08-16
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物產業機電工程學研究所zh_TW
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