scholarly journals Study on Measurement of Spatial Motion Trajectory Based on Laser Tracing Measurement System

2011 ◽  
Vol 2-3 ◽  
pp. 358-361
Author(s):  
Da Zhong Guo ◽  
Yuan Yuan Zou ◽  
Si Jun Zhu ◽  
Ming Yang Zhao
Keyword(s):  
High Speed ◽  
Laser Interferometer ◽  
Industrial Robot ◽  
Linear Measurement ◽  
Detection Accuracy ◽  
Position Measurement ◽  
High Detection ◽  
Photo Detection ◽  
Positional Precision ◽  
Speed Response

In this paper an approach of measuring the positional precision of the execution terminal of the industrial robot is introduced, and the approach based on a non-contact laser tracing measurement has the advantage of high-speed response, high detection accuracy and non-contact measurement. This method utilizes the linear motion units and photo detection units to trace the target actively. The measurement of the target coordinates are measured with the laser interferometer linear measurement module and the grating ruler. This system can achieve the position measurement of the planar motion objects without contact in real-time condition and also possesses the high precision.

Trajectory Performances Test for Arc Welding Robot Based on the Non-Contact Laser Tracing Measurement Technology

2011 ◽  
Vol 308-310 ◽  
pp. 1997-2002
Author(s):  
Xiao Jin Zhang ◽  
Jia Li ◽  
Si Jun Zhu ◽  
Yu Zhang
Keyword(s):  
Arc Welding ◽  
Laser Interferometer ◽  
Industrial Robot ◽  
Linear Measurement ◽  
Measurement Technology ◽  
Linear Motion ◽  
Welding Robot ◽  
Time Condition ◽  
Photo Detection ◽  
Trajectory Measurement

The aim of this paper is to test the trajectory precision of the execution terminal of the industrial robot based on a non-contact laser tracing measurement technique. The target is found in terms of tracing mirror attached in measurement position. This method utilizes the linear motion units and photo detection units to trace the target actively. The measurement of the target coordinates are measured with the laser interferometer linear measurement module and the grating ruler. This system can achieve the trajectory measurement of the planar motion objects without contact in real-time condition and also possesses the high precision. The experimental work and calculation were performed in order to achieve the trajectory precision of the research.

Electronic Subdividing Method for Linear Encoder of High Speed Position Detection

2006 ◽  
Vol 315-316 ◽  
pp. 230-234
Author(s):  
W. Zuo ◽  
Jing Feng Zhi ◽  
S.T. Huang ◽  
G.M. Zhao
Keyword(s):  
Phase Shift ◽  
High Speed ◽  
Position Measurement ◽  
System A ◽  
Position Detection ◽  
Key Technologies ◽  
Linear Encoder ◽  
Cutting System ◽  
Speed Response

This paper presents an electronic subdviving method for linear encoder of high speed position detection. The method aims to enhance the resolution of position measurement and improve the precision of noncircular component cutting system. A 20-subdividing circuit based on resistor chain phase shift is researched and implemented, and some key technologies are discussed. The method is proved to be successful in raising the resolution and precision with a high speed response. The experiment result proves that electronic subdividing method is doable and effective to raise the resolution of the existing system.

Development of Handheld Ultrasonic Spot Welding Machines

2012 ◽  
Vol 588-589 ◽  
pp. 1723-1728
Author(s):  
Wu Zhu ◽  
Chao Jiang ◽  
Jia Min Zhu ◽  
Yong Wang ◽  
Jia Min Zhang
Keyword(s):  
Spot Welding ◽  
High Speed ◽  
Closed Loop ◽  
Detection Accuracy ◽  
Ultrasonic Power ◽  
Vibration System ◽  
Frequency Tracking ◽  
Loop Control ◽  
Series Resonance ◽  
High Detection

As the resonance frequency of the ultrasonic vibration system drifts according to the different operating condition, Ultrasonic power supply based on MSP430 is designed in this thesis. Series inductance and parallel capacitance are used to match the vibration system and series resonance technology used in primary side of inverter transformer can reduce switch loss. ADC module in MSP430 is used to get frequency shift, and PWM module is made to adjust the operating frequency of TL494, which can realize closed loop control of frequency tracking. The results of experiments show that the method designed in this thesis has high detection accuracy, high speed dynamic response and high stability of frequency tracking.

scholarly journals Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems

2021 ◽  
Author(s):  
Xuewu Zhang ◽  
Yansheng Gong ◽  
Chen Qiao ◽  
Wenfeng Jing
Keyword(s):  
High Speed ◽  
Tensor Decomposition ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Feature Maps ◽  
Training Time ◽  
Detection Model ◽  
Railway Line ◽  
Result Show ◽  
Deep Layers

AbstractThis article mainly focuses on the most common types of high-speed railways malfunctions in overhead contact systems, namely, unstressed droppers, foreign-body invasions, and pole number-plate malfunctions, to establish a deep-network detection model. By fusing the feature maps of the shallow and deep layers in the pretraining network, global and local features of the malfunction area are combined to enhance the network's ability of identifying small objects. Further, in order to share the fully connected layers of the pretraining network and reduce the complexity of the model, Tucker tensor decomposition is used to extract features from the fused-feature map. The operation greatly reduces training time. Through the detection of images collected on the Lanxin railway line, experiments result show that the proposed multiview Faster R-CNN based on tensor decomposition had lower miss probability and higher detection accuracy for the three types faults. Compared with object-detection methods YOLOv3, SSD, and the original Faster R-CNN, the average miss probability of the improved Faster R-CNN model in this paper is decreased by 37.83%, 51.27%, and 43.79%, respectively, and average detection accuracy is increased by 3.6%, 9.75%, and 5.9%, respectively.

scholarly journals On-CMOS Image Sensor Processing for Lane Detection

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3713
Author(s):  
Soyeon Lee ◽  
Bohyeok Jeong ◽  
Keunyeol Park ◽  
Minkyu Song ◽  
Soo Youn Kim
Keyword(s):  
Edge Detection ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Image Resolution ◽  
Lane Detection ◽  
Frame Rate ◽  
Total Power ◽  
Detection Accuracy ◽  
Total Power Consumption

This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detection mask can detect the edges of slanting lanes to improve accuracy. A prototype of the proposed CIS was fabricated using a 110 nm CIS process. It has an image resolution of 160 (H) × 120 (V) and a frame rate of 113, and it occupies an area of 5900 μm × 5240 μm. A comparison of its lane detection accuracy with that of existing edge detection algorithms shows that it achieves an acceptable accuracy. Moreover, the total power consumption of the proposed CIS is 9.7 mW at pixel, analog, and digital supply voltages of 3.3, 3.3, and 1.5 V, respectively.

scholarly journals A New Rotor Position Measurement Method for Permanent Magnet Spherical Motors

2018 ◽  
Vol 8 (12) ◽  
pp. 2415 ◽  
Author(s):  
Yin Lu ◽  
Cungang Hu ◽  
Qunjing Wang ◽  
Yi Hong ◽  
Weixiang Shen ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
High Speed ◽  
Measurement Method ◽  
Coordinate Frame ◽  
Feature Points ◽  
Position Measurement ◽  
Experimental Platform ◽  
Rotor Position ◽  
Straight Line ◽  
The World

This paper proposes a new high-precision rotor position measurement (RPM) method for permanent magnet spherical motors (PMSMs). In the proposed method, a LED light spot generation module (LSGM) was installed at the top of the rotor shaft. In the LSGM, three LEDs were arranged in a straight line with different distances between them, which were formed as three optical feature points (OFPs). The images of the three OFPs acquired by a high-speed camera were used to calculate the rotor position of PMSMs in the world coordinate frame. An experimental platform was built to verify the effectiveness of the proposed RPM method.

P-181L:Late-News Poster: A Novel Optically Compensated Tunable Birefringence (OCTB) Liquid Crystal Electro-optical Device Exhibiting High Speed Response

2014 ◽  
Vol 45 (1) ◽  
pp. 1463-1464 ◽  
Author(s):  
Shunsuke Kobayashi ◽  
Kiyofumi Takeuchi ◽  
Masakazu Kaneoya ◽  
Kunihiko Kotani ◽  
Haruyoshi Takatsu
Keyword(s):  
Liquid Crystal ◽  
High Speed ◽  
Optical Device ◽  
Speed Response

High-speed-response InGaAs/InP heterostructure avalanche photodiode with InGaAsP buffer layers

1982 ◽  
Vol 18 (22) ◽  
pp. 945 ◽  
Author(s):  
Y. Matsushima ◽  
S. Akiba ◽  
K. Sakai ◽  
Y. Kushiro ◽  
Y. Noda ◽  
...  
Keyword(s):  
High Speed ◽  
Avalanche Photodiode ◽  
Buffer Layers ◽  
Speed Response

Laser interferometer for position measurement and control

Mechatronics ◽  
1993 ◽  
Vol 3 (2) ◽  
pp. 181-184 ◽  
Author(s):  
Zoltán Füzessy ◽  
Árpád Kiss ◽  
Pál Pacher
Keyword(s):  
Laser Interferometer ◽  
Position Measurement ◽  
And Control ◽  
Measurement And Control

scholarly journals A Single Target Grasp Detection Network Based on Convolutional Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Longzhi Zhang ◽  
Dongmei Wu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Transfer Learning ◽  
High Accuracy ◽  
Experimental Results ◽  
Detection Accuracy ◽  
Single Object ◽  
Single Target ◽  
High Detection ◽  
Good Detection

Grasp detection based on convolutional neural network has gained some achievements. However, overfitting of multilayer convolutional neural network still exists and leads to poor detection precision. To acquire high detection accuracy, a single target grasp detection network that generalizes the fitting of angle and position, based on the convolution neural network, is put forward here. The proposed network regards the image as input and grasping parameters including angle and position as output, with the detection manner of end-to-end. Particularly, preprocessing dataset is to achieve the full coverage to input of model and transfer learning is to avoid overfitting of network. Importantly, a series of experimental results indicate that, for single object grasping, our network has good detection results and high accuracy, which proves that the proposed network has strong generalization in direction and category.

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