Research on Tension Control with Fuzzy PID Control in the Low Relaxation PC Strand Wire Based on Mechanical Automation

Dong Mei Li; Lan Shen Guo; Cheng Hu Zhang

doi:10.4028/www.scientific.net/AMR.738.280

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 738Research on Tension Control with Fuzzy PID Control...

Research on Tension Control with Fuzzy PID Control in the Low Relaxation PC Strand Wire Based on Mechanical Automation

Abstract:

The wire drawing quality fit and unfit quality, mainly rely on the wire drawing production line tension control is good or bad. According to the drawing process has a "lag", "nonlinear" features ,proposed uses the adaptive fuzzy PID control algorithm for ensuring a constant tension in the drawing process.Using the fuzzy control online real-time to adjust PID three controlled variable. In the MATLAB simulation, comparing with the conventional PID control to show that the fuzzy PID control of drawing tension system can maintain better constant.Keywords: Fuzzy adaptive PID, MATLAB-Simulink, Tension control, Mechanical automation

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Periodical:

Advanced Materials Research (Volume 738)

Pages:

280-286

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.738.280

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Online since:

August 2013

Authors:

Dong Mei Li, Lan Shen Guo, Cheng Hu Zhang

Keywords:

Fuzzy Adaptive PID, MATLAB/SIMULINK, Mechanical Automation, Tension Control

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References

[1] Li Bowen, Analysis of prestressed steel wire production process, Gansu science and technology, Vol. 20, pp.40-41, (2004).

Google Scholar

[2] Wang Zheyu. The prestressed steel strand workshop design, Metal products, Vol. 35, pp.12-15, (2009).

Google Scholar

[3] Qin Xuping and Tan Guojun, The development of fuzzy control theory application and prospect, Control engineering, Vol. 12, pp.137-139, (2005).

Google Scholar

[4] Shen Jie, Jin Dongming, and Li Zhijian, Fuzzy control and fuzzy logic control chip, Chinese Journal of electronics, Vol. 25, pp.61-67, (1997).

Google Scholar

[5] Zhang Yongning, and Zhang Fengtao, Engineering colleges should popularize the MATLAB language, Journal of Jilin Institute of technology, Vol. 21, pp.57-58, (2000).

Google Scholar

[6] Gu Jianxiong, Lei Zhenghong, MATALB/SIMULINK in teaching of automatic control theory application, Journal of He Xi University, Vol. 22, pp.32-33, (2006).

Google Scholar

[7] Zhu Jing, Fuzzy control theory and system theory, Mechanical Industry Press, Beijing, pp.207-256, August (2005).

Google Scholar

[8] Liu Jinkun, Advanced PID and MATLAB simulation, Publishing House of electronics industry, Beijing, pp.1-89 October (2002).

Google Scholar

[9] Zhang Weiguo, and Yang Xiangzhong, Fuzzy control theory and application, Northwestern Polytechnical University press, Xian, pp.1-85, October (1999).

Google Scholar

[10] Zhao Jun, Fuzzy PID technology progress, Journal of Harbin University of Science and Technology, Vol. 7 pp.57-60, (2002).

Google Scholar