Applied Technology in Control System Design of Asphalt Concrete Mixer's Based on PLC

Article Preview

Abstract:

In view of current production technology of asphalt concrete mixing plant and technology, a distributed computer control system based on PLC and field bus is developed. The compensation iteration self-learning algorithm is adopted, the compensation amount of learning algorithm of the system is designed and the course program control algorithm is presented. Therefore the precision of the system’s measurement and control is improved and the transmission error is reduced.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

433-436

Citation:

Online since:

March 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ju Qing Yang et al. Design and Improvement of an Intellectualized Keyboard for Telephones. Advanced Materials Research, Vol. 466-467, pp.1010-1014, (2012).

Google Scholar

[2] Yang Juqing, Liu Jiao yue et al. Iteration Learning Algorithm Design of Asphalt Concrete Mixer's Control System. Manufacturing Automation. Vol. 33 (14): pp.137-138, 142, (2011).

Google Scholar

[3] Yang Juqing, et al. The Design and Application of Mixing Sstation Electrical Control System [J] . Electrical Technology 2009. 4 pp.66-68, ( 2009).

Google Scholar

[4] Lin tao, Wang Zhiwen Wang Jiangbo. LB2000 Asphalt Concrete Mixing Equipment Computer Control System [J]. Road Construction Machinery and Construction Mechanization. 2006. 2(32) pp.15-17, ( 2006).

Google Scholar

[5] Chen Shuanhai, Chen Huaxin, Zheng Mulian. Asphalt Mixture Design and Construction [M]. Beijing: Chemical Industry Press, (2006).

Google Scholar

[6] Tian Ji. Asphalt concrete mixing plant application technology [M]. Beijing: China Building Materials Industry Press, (2005).

Google Scholar

[7] Feng Zhongxu. Zhao Lijun. Intelligent Mixing Equipment [J] Changan University Journal, 2(46)pp.77-79, ( 2004).

Google Scholar