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研究生:張旭輝
研究生(外文):Hsu-Hui Chang
論文名稱:以非耦合動態模式與投影映射法進行ROV參數鑑別
論文名稱(外文):Parameter Identification of ROV by Decoupled Dynamical Models with Projective Mapping Method
指導教授:陳信宏陳信宏引用關係
指導教授(外文):Hsin-Hung Chen
學位類別:碩士
校院名稱:國立中山大學
系所名稱:海下技術研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:104
中文關鍵詞:流體動力參數非耦合水下無人遙控載具投影映射
外文關鍵詞:decoupledprojective mappinghydrodynamic parametersROV
相關次數:
  • 被引用被引用:9
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  • 下載下載:24
  • 收藏至我的研究室書目清單書目收藏:0
水下無人遙控載具(Remotely Operated Vehicle; ROV)運動具有六個自由度,包括前進後退(Surge)、左右移動(Sway)、上下移(Heave)、橫搖(Roll)、縱搖(Pitch)、航偏(Yaw),其中水流阻力及附加質量(Added mass)效應對ROV運動之影響最大。ROV流阻係數及附加質量係數可以透過平面運動機構(Planar Motion Mechanism ; PMM)直接求得,但其缺點是成本太高。所以本研究利用低成本的投影映射法來求得ROV運動軌跡,再由運動軌跡與推進器推力之關係反算動力參數。由於六自由度的ROV運動方程式具高度非線性,利用數值迭代運算一次求出所有的動力參數,容易產生大的誤差。所以,本研究透過ROV非耦合運動來降低動力參數之求解數目,針對不同ROV運動型態求解相關之動力參數。本研究以中山大學海下技術研究所之ROV Seamor為研究對象,使用攝影機拍攝水下ROV平面運動軌跡,並利用投影映射(Projective mapping)法與ROV深度計回傳之資訊,求出ROV之位置軌跡及速度,再利用最佳化方法迭代求出流阻係數及附加質量係數。將所求出的動力參數代入運動方程式推估ROV之運動軌跡,並與實際ROV在水中運動軌跡做比對驗證,結果相當吻合。
Remotely operated vehicle (ROV) dynamics is affected by hydrodynamic forces such as added mass and viscous drag force. Both of added mass and drag force coefficients can be measured by a set of Planar Motion Mechanism (PMM) tests; however, it is costly. In this study, an economic method for identifying hydrodynamic parameters of ROV is given. A simplified nonlinear ROV dynamics model with twelve unknown hydrodynamic parameters in six degrees of freedom was derived for simulations. The identification is based on experimental data obtained by projective mapping method which is utilized to measure the planar motions of a ROV. Then least-squares optimization is performed by comparison between the theoretical simulations and the actual motion measurements. But, an optimization computation involving a large number of parameters is likely to get trapped in a local minimum. Therefore, to reduce the number of parameters to be optimized, some models of simple motions such as surge, sway, surge and sway, yaw, and heave are decoupled from the ROV dynamic model. A commercial ROV “Seamor” that equipped with two vertical thrusters, two horizontal thrusters, and a depth sensor is used for identification. The experiments for measuring ROV motions of surge, sway, surge and sway, and yaw were performed in a swimming pool in National Sun Yat-sen University. A video camera is utilized to capture ROV for position estimation using projective mapping method. As for the heave motion of ROV, the experiment was conducted offshore the Shio-Liu-Qiu Island and the ROV depth was measured by an onboard pressure sensor. Then, optimal hydrodynamic parameters are identified in sequence of surge, heave, yaw, sway, and then surge and sway. Verification experiments were performed and the simulation results with the optimum values of hydrodynamic parameters show good agreement with the measured data from verification experiments.
第一章 緒論 1
第二章 非耦合動力模式 5
第三章 投影映射法 40
第四章 實驗規劃與設計 51
第五章 參數鑑別結果 62
第六章 結論與建議 86
[1] 侯章祥,臍帶電纜及洋流對潛航器運動之影響,國立成功大學系統暨船舶機電工程研究所碩士論文,2005。

[2]P. Heckber, Fundamentals of Texture Mapping and Image Warping, Master''s thesis, UCB/CSD, 89/516, CS Division, U.C. Berkeley, June 1989.


[3] R. Cristi, F. A. Papoulias, and A. J. Healey, "Adapitve Sliding Mode Control of Autonomous Underwater Vehicles in the Dive Plane,"IEEE J. Ocean Eng., Vol. 15, No. 3, pp. 152-160, July 1990.




[4] D. A. Smallwood and L. L. Whitcomb, "Preliminary Experiments in the Adaptive Identification of Dynamically Positioned Underwater Robotic Vehicles," Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, Hawaii, USA, Oct. 29--Nov. 03, Vol. 4, pp. 1803--1810, 2001.

[5] D. A. Smallwood and L. L. Whitcomb, "Preliminary Identification of Dynamical Plant Model for the Jason 2 Underwater Robotic Vehicle," Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, Hawaii, USA, 22-26 Sept. 2003, Vol.2, pp. 688- 695, Sept. 2003.

[6] D. A. Smallwood and L. L. Whitcomb,"Adaptive Identification of Dynamically Positioned Underwater Robotic Vehicles," IEEE Transactions On Constrol Systems Technology, Vol. 11, pp. 505--515, July 2003.

[7] P. van de Ven, C. Flanagan, and D. Toal, "Identification of Underwater Vehicle Dynamics with Neural Networks," IEEE TECHNO-OCEAN ''04, Kobe, Japan, 9--12 Nov. 2004 , Vol. 3, pp. 1198--1204, Nov. 2004.

[8] S.M. Savaresi, F. Previdi, A. Dester, S. Bittanti, and A. Ruggeri, " Modeling, Identification, and Analysis of Limit-Cycling Pitch and Heave Dynamics in an ROV," IEEE J.Ocean Eng., Vol. 29, pp. 407--417, April 2004.

[9] 張培恩,波浪對潛航器運動之影響及控制分析,國立成功大學系統暨船舶機電工程研究所碩士論文,2004。

[10] T. I. Fossen, Guidance and Control of Ocean Vehicles, John Wiley and Sons, Chichester, 1994.

[11] 楊宗頷,水下無人遙控潛具之遠端操作介面發展,國立中山大學海下技術研究所碩士論文,2004.
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