scholarly journals Research on Intelligent Control System Based on Feature Recognition

2021 ◽  
Vol 2095 (1) ◽  
pp. 012038
Author(s):  
Jinghong Wu ◽  
Qian Liu ◽  
Jian Chen
Keyword(s):  
Control System ◽  
Water Column ◽  
Intelligent Control ◽  
Computer Animation ◽  
Feature Recognition ◽  
Landscape Art ◽  
Intelligent Control System ◽  
Modern Landscape ◽  
Very High

Abstract Fountain is an important facility in modern landscape art. Ordinary fountains are regulated by water valves, which makes the water column of the fountain very high, so the height of the fountain cannot be changed flexibly, the fountain is the product of the combination of the most popular garden architecture and appreciation in recent years. In this paper, intelligent control system based on feature recognition is designed. According to the system, fountain forms and features can be recognized automatically. At the same time, the system can also be integrated with computer animation, which makes the melody, emotion, rhythm and waterscape art to realize harmonious and unified.

Study on the Control System of Grinding the Nozzle of Twin Flapper-Nozzle Valve

2014 ◽  
Vol 644-650 ◽  
pp. 62-66
Author(s):  
Shu Zhen Yang ◽  
Rui Qian ◽  
Yu Jie Bai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Fine Tuning ◽  
Machining Accuracy ◽  
Control Technology ◽  
Working Pressure ◽  
Abrasive Flow Machining ◽  
Intelligent Control System ◽  
High Level ◽  
Very High

In this paper, neural network and grey fuzzy control technology are applied in Abrasive Flow Machining (AFM) to grind the mico-hole in th nozzle of the twin flapper-nozzle valve. An intelligent control system with fine tuning working pressure is established that can predict the process parameters automatically before machining and forcast the flow to adjust the working pressure in machining.The result of experiment indicates that this system has high level of intelligent and can get very high machining accuracy.

Digital twin of the chip formation process

2020 ◽  
pp. 81-86
Author(s):  
Yu.G. Kabaldin ◽  
D.A. Shatagin ◽  
M.S. Anosov ◽  
A.M. Kuz'mishina
Keyword(s):  
Neural Network ◽  
Control System ◽  
Crystal Lattice ◽  
Network Model ◽  
Intelligent Control ◽  
Neural Network Model ◽  
Formation Process ◽  
Chip Formation ◽  
Intelligent Control System ◽  
The Relationship

The formation of chips during the processing of various materials was studied. The relationship between the type of chips, the type of crystal lattice of the material and the number of sliding systems is shown. A neural network model of chip formation is developed, which allows predicting the type of chips. An intelligent control system for the process of chip formation during cutting is proposed. Keywords: chip formation, crystal lattice, neural network model, type of chips. [email protected]

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