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