Development of machine vision positioning system based on neural network

2011 ◽  
Author(s):  
Bai Wenfeng ◽  
Sun Yaping ◽  
Xue Bingbing
Keyword(s):  
Neural Network ◽  
Machine Vision ◽  
Positioning System ◽  
Vision Positioning

Development of Machine Vision Positioning System of Magnetorheological Fluid (MRF) Actuator

2013 ◽  
Vol 470 ◽  
pp. 625-629
Author(s):  
A.B. Husaini ◽  
Ghazali Izzat ◽  
Samad Zahurin ◽  
Othman Rusli
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Low Cost ◽  
Feedback System ◽  
Magnetorheological Fluid ◽  
Fast Response ◽  
Positioning System ◽  
Machine Vision System ◽  
Vision Positioning ◽  
Magnetorheological Valve

Magnetorheological valve offers several advantages such as controllability, small in size and no moving part during operation. Thus, many researchers are working on developing an actuator based on this valve. However, this actuator required feedback system to improve it precision. This research is focusing on developing of machine vision based positioning system for MRF actuator. Image processing algorithms coded using Matlab software and directly connect to MRF valve controller. As a result, the system shows a fast response with processing time only 0.6 millisecond, system resolution is 0.1 millimeter and finally repeatability is 0.01. As a conclusion, the machine vision system are applicable for MRF actuator positioning system. This study is significant in order to developing a low cost and robust positioning system.

Neural network-based optimal control of a DC motor positioning system

2013 ◽  
Vol 7 (1/2) ◽  
pp. 83 ◽  
Author(s):  
Maksym Khomenko ◽  
Volodymyr Voytenko ◽  
Yuriy Vagapov
Keyword(s):  
Neural Network ◽  
Optimal Control ◽  
Dc Motor ◽  
Positioning System
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