Linear Motor Intelligent Control System Based on LabVIEW

2014 ◽  
Vol 610 ◽  
pp. 493-496
Author(s):  
Wei Na Liu ◽  
Dong Nan Su ◽  
Jun Ying Ma ◽  
Li Feng Yang

In order to realize the industrial computer can control automatic adjustment of linear motor, design the linear motor control scheme based on virtual instrument technology. System driven by the control card of GE series, based on the LabVIEW development platform, realizes the intelligent control of linear motor.

2011 ◽  
Vol 317-319 ◽  
pp. 1683-1687 ◽  
Author(s):  
Xin Bing Huang ◽  
Xiao Juan Liu ◽  
Jian Bao Hao

Combining with the development of greenhouse industry, this article puts forward a design scheme of a control system of greenhouse based on the virtual instruments technology. The data measured by the sensors are sent to the computer through the data collecting card. It uses the LABVIEW which is virtual instrument software for programming. Through the graphical operation interface and display interface, the data of temperature, humidity, illumination intensity and co2 concentration can be acquitted, transmitted, analyzed and displayed timely. And it realizes the virtual intelligent control of greenhouse environment.


2012 ◽  
Vol 460 ◽  
pp. 290-294
Author(s):  
Yu Jie Zhang ◽  
Yun Liu

Due to the defects of traditional LED intelligent control system, the design scheme of artificial intelligence control system for LED based on ZigBee was proposed in this paper, which described the hardware and software design method of the system. The system used STM32 as the core and embedded BP neural network program in LabVIEW software, which can achieve the optimal intelligent control for LED under the LabVIEW development platform through ZigBee wireless network, including the functions of constant intensity of illumination lighting, compensation lighting, adaptive lighting and artistic lighting according with human body visual comfort. The system can be widely used in large lighting place and intelligent household application field.


2011 ◽  
Vol 308-310 ◽  
pp. 1525-1530
Author(s):  
Yong Hong Zhu ◽  
Xiao Hong Zhang

This paper applies multi-sensor information fusion technology to intelligent control system of ceramic kiln and proposes a corresponding control scheme. The control scheme is composed of six-layer structures which include four subsystems. Then, compositions, functions and adoptive algorithms of the four subsystems are analyzed. In the end, the whole system control scheme and its work process are analyzed.


2013 ◽  
Vol 441 ◽  
pp. 783-787 ◽  
Author(s):  
Yong Tao Wang ◽  
He Xi Zhang ◽  
Jia Chun Li ◽  
Yan Ying Wu

This paper developed a intelligent control system that can fertigate according to crops’ requirements. At first, the overall composition of this system was expounded. It used kingview 6.55 and measurement and control center software as the development platform, and HORNER OCS as the core controller, and it constructed agricultural fertigation control system. The communication module is GPRS DTU, and the system pressure adjustment was achieved by frequency converter. Secondly, related technology such as communication protocol, port mapping, dynamic DNS and peanut shells software was introduced. The system software development, database design and public based on the Internet was completed. The system test results show that the system was fully function, stable running, and met actual demand of water and fertilizer management in agriculture.


2011 ◽  
Vol 282-283 ◽  
pp. 658-661
Author(s):  
Jia Liang Zhang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
Han Yan Chen

Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.


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