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Control Strategy of Wastewater Treatment in SBR Method Based on Intelligence Fusion

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Fuzzy Information & Engineering and Operations Research & Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 211))

Abstract

To solve the puzzle of dissolved oxygen control for wastewater treatment in SBR method, the paper proposed a sort of intelligence fusion control algorithm. In the paper, it summarized up the main puzzles in control, proposed the intelligence fusion based control strategy, constructed the structure of controller, discussed the control algorithm, and made the simulation by means of intelligence fusion based control algorithm. The simulation curve demonstrated that the proposed control strategy would be stronger in robustness and suitable for the dissolved oxygen control of wastewater treatment. The research result shows that it is feasible and reasonable for wastewater treatment in SBR method.

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Author information

Authors and Affiliations

  1. School of Polytechnic, Chongqing Jiaotong University, Chongqing, 400074, China

    Xian-kun Tan

  2. College of Automation, Chongqing University, Chongqing, 400030, China

    Ren-ming Deng & Chao Xiao

Authors
  1. Xian-kun Tan
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  2. Ren-ming Deng
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  3. Chao Xiao
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Corresponding author

Correspondence to Xian-kun Tan .

Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science, Guangzhou University Higher Education Mega Center, Guangzhou, People's Republic of China

    Bing-Yuan Cao

  2. Department of Mathematics and Computer Sciences, Mazandaran University, Babolsar, Iran

    Hadi Nasseri

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© 2014 Springer-Verlag Berlin Heidelberg

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Tan, Xk., Deng, Rm., Xiao, C. (2014). Control Strategy of Wastewater Treatment in SBR Method Based on Intelligence Fusion. In: Cao, BY., Nasseri, H. (eds) Fuzzy Information & Engineering and Operations Research & Management. Advances in Intelligent Systems and Computing, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38667-1_34

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  • DOI: https://doi.org/10.1007/978-3-642-38667-1_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38666-4

  • Online ISBN: 978-3-642-38667-1

  • eBook Packages: EngineeringEngineering (R0)

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