Study on the Control Strategy of Polydimethylsiloxanols Continuous Production System in One-Step Synthesis

Article Preview

Abstract:

According to the reaction principle of polydimethylsiloxanols produced by one-Step synthesis, the mathematical model is fitted by analyzing the result of test. This is a complex system with nonlinear time-Varying coupling characteristics, considering the requirements of dynamic and static performance indicators ,easily controlled features and simple structure, the combine control strategy of conventional PID and Fuzzy PID is used. The results show that the control precision of conversion rate is high and the robustness and adaptive ability of the system are both improved. This lays theoretical foundation to produce the polydimethylsiloxanols continuously in large scale in the future.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1033-1034)

Pages:

958-962

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Du Wei, YU Da-hong. LIU Guo-jie, Thermal Pressure Coefficient and Degree of Polymerization for Polydimethysilovance", J Chem Eng of Chinese Uaiv, vol. 4, no. 10, p.358-363, (1995).

Google Scholar

[2] Kucera M, Changes in the rate of anionic polymerization of octamethylcycloterasiloxane caused by silanolate active centers, J polym Sci, vol. 58, pp: 1263-1281, (1962).

DOI: 10.1002/pol.1962.1205816682

Google Scholar

[3] Li Junqi, Xia Yiran, Liu Wenbing, The improvement of Synthesis Technology about Room Temperature Vulcanizing Silicone Rubber, Science & Technology in Chemical Industry, vol. 4, no. 6, pp: 58-61, (1998).

Google Scholar

[4] Zhou An'an, Weng Zhixu e, Shan Guorong, Huang Zhiming, Pan Zuren, Kinetic Model for Preparing Hydroxy Termianted Polydimethylsiloxane in One-Step Pros. Journal of Chemical Industry and Engineering, vol. 1, no. 55, pp:48-53, (2004).

Google Scholar

[5] Du Xu-feng, Cheng Qi-ming, LU Wen-ying, GUO Rui-qing, The Simulative Research on Ball Mill Control System Based on Fuzzy PID Decoupling. Journal of Shanghai University of electric power, vol. 24, no. 3, pp: 231-235, (2008).

DOI: 10.1109/supergen.2009.5347934

Google Scholar

[6] Han Xiaoyu, Comparison of the Applications of Two Digital PID Algorithms in Temperature Control System of Electric Boiler, Modern Machinery, vol. 53, no. 4, pp: 38-39, (2011).

Google Scholar

[7] Song, Haihui, De, Tian, Research on Maximum wind Energy Capturing of Doubly Fed Induction Wind Generator Based on Fuzzy Control Technology, Lecture Notes in Electrical Engineering, vol. 1, no. 4, pp: 43-48, (2012).

DOI: 10.1007/978-3-642-27311-7_7

Google Scholar

[8] Jhi, Hwa-Lu, Tseng, Chung-Shi, Robust static output feedback fuzzy control design for nonlinear discrete-time systems with persistent bounded disturbances, International Journal of Fuzzy Systems, vol. 14, no. 1, pp: 131-140, (2012).

DOI: 10.1109/fuzzy.2010.5584602

Google Scholar

[9] Guo, Jinghua, Hu, Ping, Li, Linhui, Wang, Rongben, Zhang, Mingheng, Guo, Lie, Study on lateral fuzzy control of unmanned vehicles via genetic algorithms, Journal of Mechanical Engineering, vol. 48, no. 6, pp: 76-82, (2012).

DOI: 10.3901/jme.2012.06.076

Google Scholar