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Research on Asphalt Gas Concentration Control System Based on Fuzzy-PID Control

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Proceedings of the 2015 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE))

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Abstract

The asphalt gas concentration control system is characterized by its long-time delay, large inertia object and varying control parameter, too complicated to be applied in traditional PID control. In this paper, we use fuzzy-PID controller to control the asphalt gas concentration control system. The fuzzy-PID controller is designed based on fuzzy adaptive PID control principle; the PID parameters are adjusted according to error \( e \) and error change rate \( ec \). Fuzzy-PID controller has more excellent performances than the traditional PID controller in the gas concentration control from the simulation results comparisons.

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References

  1. Guanfei Tian, Shengli Feng, Yong Zhang (2015) R&D of exhausted fumed decontamination system of polymer modified asphalt waterproofing sheet assembly [J]. China Build Waterproofing 4:31–38

    Google Scholar 

  2. Fang Huang, Jianqiang Gao, Xuehui Zhang (2013) Application of Fuzzy PID in waste gas treatment system for casting room [J]. Foundry Technol 4:489–491

    Google Scholar 

  3. Yuanshao Qiao, Yanlong Cao (2008) Design and simulation of self-adaptive Fuzzy PID controller used in soybean milk concentration control system [J]. Modular Mach tool Autom Manuf Tech 11:56–59

    Google Scholar 

  4. Lemke VN, Dezhao W (1985) Fuzzy PID supervisor [J]. In: 24th IEEE CDC Paper 9(15):602–608

    Google Scholar 

  5. Ma F (2014) An improved fuzzy PID control algorithm applied in liquid mixing system [J]. In: International conference on information and automation 7:587–591

    Google Scholar 

  6. Aiyu Zheng, Guifen Wang, Shengli Feng (2012) Bitumen fume low temperature plasma cleaning technology [J]. China Build Waterproofing 1:20–23

    Google Scholar 

  7. Huan Y, Jianjing S (2010) The application of fuzzy-PID in control system of THJ-2 temperature experimental device [J]. In: International conference on computer design and application 3:101–105

    Google Scholar 

  8. Xia Y, Qingding G, Qiang L (2005) Research on fuzzy PID composite control based on AC servo system [J]. Servo control 5:37–39

    Google Scholar 

  9. Driankov D, Hellendoorn H, Reinfrank M (1996) An Introduction to Fuzzy Control, 2nd edn. Springer, Berlin, pp32–96

    Google Scholar 

  10. Lizheng S, Jun G, Jianhua W (2010) Pulp concentration control by PID with BP neural network in the production of light weight cardboard [J]. In: Computer-Aided industrial design & Conceptual design(CAIDCD), 2:1217–1220

    Google Scholar 

  11. Hui Chen, Dongwei Qiao, Jianghua Li (2012) Research on irrigation area intelligent measurement system based on Fuzzy PID control [J]. Measure control Technol 31:253–256

    Google Scholar 

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Correspondence to Man Feng .

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Feng, M., Zhang, W., Zhang, Y. (2016). Research on Asphalt Gas Concentration Control System Based on Fuzzy-PID Control. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_30

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  • DOI: https://doi.org/10.1007/978-3-662-48365-7_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48363-3

  • Online ISBN: 978-3-662-48365-7

  • eBook Packages: EngineeringEngineering (R0)

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