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研究生: Dai-Dong Nguyen
Dai-Dong Nguyen
論文名稱: 機械手臂關節扭矩感測器設計與開發
Design and Development of a Robot Joint Torque Sensor
指導教授: 郭重顯
Chung-Hsien Kuo
口試委員: 黃漢邦
Han-Pang Huang
蘇順豐
Shun-Feng Su
顏炳郎
Ping-Lang Yen
蔣欣翰
Hsin-Han Chiang
郭重顯
Chung-Hsien Kuo
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 76
中文關鍵詞: Joint torque sensorStructural designNoise reductionOptimal design
外文關鍵詞: Joint torque sensor, Structural design, Noise reduction, Optimal design
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Force detection is an important indicator of a robot’s interaction with the working environment. Therefore, accurate and sensitive torque sensor design and development are important. This study proposed a robot joint torque sensor design and optimization based on a strain gauge and through-hole spoke structure topology to detect the external force with high sensitivity and low noise. A through-hole spoke type with a novel inclination sensing surface (ISS) was proposed, and the optimization design improved the strain gauge placement position and focused stress arrangement. Three optimization objectives were desired to enhance the joint torque sensor sensitivity with guaranteed stiffness. A sensor signal processing circuit was also introduced to obtain low-noise output signal performance. The experimental results showed that the joint torque sensor had a high sensitivity of 1.65 mV/Nm before amplification. This sensor was compared with a previous study and a commercial torque sensor. The prototype torque sensor indicated high sensitivity and low error.


Force detection is an important indicator of a robot’s interaction with the working environment. Therefore, accurate and sensitive torque sensor design and development are important. This study proposed a robot joint torque sensor design and optimization based on a strain gauge and through-hole spoke structure topology to detect the external force with high sensitivity and low noise. A through-hole spoke type with a novel inclination sensing surface (ISS) was proposed, and the optimization design improved the strain gauge placement position and focused stress arrangement. Three optimization objectives were desired to enhance the joint torque sensor sensitivity with guaranteed stiffness. A sensor signal processing circuit was also introduced to obtain low-noise output signal performance. The experimental results showed that the joint torque sensor had a high sensitivity of 1.65 mV/Nm before amplification. This sensor was compared with a previous study and a commercial torque sensor. The prototype torque sensor indicated high sensitivity and low error.

ABSTRACT i ACKNOWLEDGMENT ii LIST OF FIGURES vi LIST OF TABLES viii NOMENCLATURE ix CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Objectives 2 1.3 Organization of the Thesis 2 CHAPTER 2 LITERATURE REVIEW 3 2.1. Design and optimization of the sensor structure based on strain gauges 4 2.2. Signal processing 7 CHAPTER 3 SENSOR STRUCTURE DESIGN 8 3.1. Design criterion 8 3.2. Selection of material for the elastic element 8 3.3. Design and analysis of the sensor structure 9 3.3.1. Sensor structure configuration and revolution 10 3.3.2. Finite element analysis 14 CHAPTER 4 OPTIMIZATION OF SENSOR STRUCTURE 18 4.1. Measurement Principle 18 4.2. Optimization 19 4.2.1. Objective Function 20 4.2.2. Design Variable and Their Range 21 4.2.3. Constraints 22 4.2.4. Optimization Problem Formulation 22 4.3. Optimization Solution 23 4.3.1. Design of Experiment 23 4.3.2. Box-Behnken design 23 4.3.3. Response Surface Methodology 24 4.4. ANSYS setup 26 4.4.1. DOE 26 4.4.2. Response surface methodology. 28 4.4.3. Optimization 29 CHAPTER V SENSOR SIGNAL PROCESSING 34 5.1. Strain gauge and measurement using strain gauge 34 5.1.1. Strain gauge 34 5.1.2. Measurement using strain gauge and strain gauge measurement system 36 5.1.3. Positioning of strain gauges 38 5.1.4. Sensor full-bridge circuit 40 5.2. Signal processing circuit and signal conditioning 42 5.2.1. Sensor signal processing circuit 42 5.2.2. Bridge unbalance 44 5.2.3. Temperature compensation 44 5.2.4. Sampling rate 44 CHAPTER 6 CALIBRATION AND EVALUATION 45 6.1. Calibration 45 6.1.1. Calibration setup and procedure 45 6.1.2. Digital signal processing in LabView 47 6.1.3. Calibration results 51 6.2. Evaluation 53 6.2.1. Sensitivity 53 6.2.2. Linearity 53 6.2.3. Hysteresis 54 6.2.4. Repeatability 55 6.2.5. Evaluation results 57 6.3. Compare with the other prototype joint torque sensor 57 6.4. Compare with the other study 59 CHAPTER 7 CONCLUSION AND FUTURE WORKS 60 7.1. Conclusion 60 7.2. Future work 61 REFERENCES 62

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