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研究生: 黃顗軒
Yi-Hsuan Huang
論文名稱: 影像量測用於即時雙向致動器位移回饋控制之研究
Bi-directional actuator displacement control for structural testing using image-based displacement feedback
指導教授: 陳沛清
Pei-Ching Chen
口試委員: 汪向榮
Shiang-Jung Wang
許丁友
Ting-Yu Hsu
丁貫中
Guan-Zhong Ting
楊元森
Yuan-Sen Yang
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 156
中文關鍵詞: 即時影像量測位移回饋控制油壓致動器雙目視覺系統三角測量法
外文關鍵詞: Real-time image analysis, Displacement feedback control, Servo-hydraulic actuator, Stereo vision system, Triangulate method
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  • 影像量測技術已廣泛應用於結構工程與地震工程中,相較於傳統的量測方法,影像量測不會因工作空間導致架設困難。在過去的研究中,前人已成功將影像量測技術應用於油壓致動器即時位移回饋控制中,發展出一套非接觸式的位移回饋控制方法。由於影像量測計算之更新頻率遠低於油壓致動器之更新頻率,導致油壓致動器階梯狀訊號的產生;此外,在追蹤靜止不動或慢速移動的目標時,由於重複精度導致計算之影像位移訊號產生上下跳動,造成致動器位移控制表現產生微小的振動。前人已透過加入邊緣搜索以及次像素精度解決重複精度問題,更透過加入中介層將影像量測回饋的更新速率提高10倍。由於過去的研究僅使用單向的位移回饋控制,本研究嘗試將此技術延伸應用在雙向的位移回饋控制實驗中。
    本研究首先透過將兩台相機以正交架設的方式,建構成一個正交單相機系統,並配合低差異採樣法來算出目標物的位移,以一台相機所計算出位移對應一支致動器的方式,完成了非接觸式的雙向位移回饋控制。然而,單相機系統需要確保相機與試體呈幾何正交,在結構實驗配置與實驗空間限制下通常不太可行。有鑑於此,本研究提出了以雙相機系統進行影像量測位移回饋控制的概念,稱為雙目視覺系統。首先,即時搜尋兩台相機所得影像中目標物的影像點,以三角測量法的方式找出真實點的位置,再計算出試體在兩個方向的真實位移,以此來進行致動器雙向位移回饋控制。最後,本研究於國家地震工程研究中心小型結構實驗室進行單相機與雙相機系統的實驗驗證,實驗結果顯示兩種影像量測雙向致動器位移回饋控制技術皆可得到良好的位移控制性能,同時影像量測的更新頻率亦不因計算量變大而下降。


    Nowadays, image-based analysis has been widely applied to structural engineering and earthquake engineering studies as noncontact measurements. Compared to conventional displacement transducers, the location for setting up cameras is not limited by experimental layout and working space. In previous studies, image-based analysis technology has been successfully applied for real-time displacement feedback control of actuator to replace conventional displacement transducers. However, the insufficient update frequency of image analysis resulted in step-like command for actuator control. Meanwhile, displacement jitter occurred when the loading rate was slow due to the repeatability of the camera and the analysis. Accordingly, the displacement tracking performance of the hydraulic actuator is affected. Later, the repeatability issue of the camera and analysis has been resolved by incorporating edge detection and sub-pixel accuracy algorithm. The step-like signal has also been improved by increasing the update rate tenfold through the a middleware which generates virtual displacement feedbacks by extrapolating the displacement measurement from image analysis. These previous researches merely focused on unidirectional displacement feedback control of actuator. This study intends to extend the image analysis technology to bidirectional displacement feedback control of actuators.
    Two scenarios are considered in this study. First, a single-camera system is defined by setting up two cameras orthogonal to their corresponding actuators. The displacement of the target object is calculated using the same technology developed for unidirectional control of actuator which employs low-discrepancy sampling method. The displacement calculated by one camera corresponds to the movement of the associated actuator. In other words, the two cameras are working individually without recognizing each other. However, it may not be always allowed to set up two cameras in orthogonal directions due to complicated experimental layout or a lack of space in the laboratory. Therefore, a second scenario considers using a stereo vision system for bidirectional displacement feedback control of actuators. The image points of the target object are obtained by the two cameras simultaneously. The position of the true points are then determined using the triangulation method. Afterwards, the actual displacement of the test specimen in both orthogonal directions can be calculated which is used as feedback for bidirectional displacement control of actuators. To verify the feasibility of the proposed method, experiments are conducted in the small-scale structural laboratory of National Center for Research on Earthquake Engineering. The experimental results demonstrate that applying image measurement techniques for bidirectional displacement feedback control achieves satisfactory static and dynamic displacement tracking performance without reducing the update frequency of image analysis.

    摘要 i ABSTRACT ii 致謝 iv 目錄 v 表目錄 vii 圖目錄 viii 第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 1 1.3 論文架構 2 第二章 文獻回顧 3 2.1 影像量測演算法 3 2.2 影像量測於結構實驗之應用 3 2.3 雙目視覺系統的應用 4 第三章 影像回饋控制系統 6 3.1 硬體設備 6 3.1.1 雙向實驗試體介紹 6 3.1.2 成像系統 6 3.1.3 模組化儀器控制系統 8 3.1.4 油壓致動器與控制系統 9 3.2 軟體設備 10 3.2.1 編譯軟體 10 3.2.2 機器視覺開發軟體 10 3.3 機器視覺演算法 11 3.3.1 模式匹配法 11 3.3.2 低差異採樣法 12 3.4 中介層算法 13 3.5 三角測量法 14 第四章 位移回饋實驗採正交單相機系統 18 4.1實驗架設 18 4.2 PID調適 19 4.3以Jacobian修正式之內部控制 20 4.3.1 靜態實驗 21 4.3.2 動態實驗 22 4.4影像量測回饋控制 23 4.4.1 靜態實驗 24 4.4.2 動態實驗 24 第五章 位移回饋實驗採雙相機系統 27 5.1 實驗架設 27 5.2 PID調適 28 5.3 以Jacobian修正式之內部控制 29 5.3.1 靜態實驗 29 5.3.2 動態實驗 30 5.4 影像量測回饋控制 31 5.4.1 靜態實驗 31 5.4.2 動態實驗 32 第六章 結論與建議 33 6.1 結論 33 6.2 建議 34 參考文獻 36

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