DocumentCode :
3021178
Title :
A Batch Dyeing Machine´s Controller Based on Embedded System
Author :
Zhang, Jianxin ; Zhou, Zhiyu ; Zhang, Zhen
Author_Institution :
Coll. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
429
Lastpage :
432
Abstract :
Traditional controllers for dyeing batch machines, which are mainly implemented on the obsolete 8-bit or 16-bit MCU or PLC platform, have some disadvantages in network communication, input and output ports, human-machine interaction, dyeing-program edition, control functions and so on. This paper proposes a new batch dyeing machine´s controller based on the 32-bit embedded platform. It is realized on the ARM7 hardware platform with embedded operating system eCos whose source codes are open and free. The design and implementation of the embedded controller are described in detail after analyzing the function requirements of a typical batch dyeing process. Finally, the migration of the embedded software is done and an experimental controller with powerful functions and high performance is produced.
Keywords :
batch processing (industrial); control engineering computing; dyeing; embedded systems; microprocessor chips; operating systems (computers); production engineering computing; programmable controllers; textile machinery; ARM7 hardware platform; MCU; PLC platform; batch dyeing machine controller; batch dyeing process; dyeing batch machines; dyeing-program edition; eCos; embedded controller; embedded operating system; embedded system; human-machine interaction; network communication; source codes; Automatic control; Automation; Communication system control; Control systems; Educational institutions; Embedded software; Embedded system; Hardware; Mechanical engineering; Operating systems; ARM 7; batch dyeing; eCos; embedded system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.194
Filename :
5376294
Link To Document :
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