Paper Title:
Study on Soft Sensor Modeling and Optimization Control of Biological Fluidized Bed Swage Disposal
  Abstract

To solve the problem that outlet water index Biochemistry Oxygen Demand (BOD) of the Biological Fluidized Bed (BFB) sewage treatment process is difficult to online measure and optimization control of sewage treatment process, Water quality index neural network soft measurement method and the fuzzy control strategy was put forward in this paper. Considering the sewage treatment process exists nonlinear and time-varying characteristic, the effluent water BOD soft sensor model was established employing the process neural network. On the base of this, the optimization control was realized adopting Dissolved Oxygen (DO) for fuzzy control variable Through the soft measurement and fuzzy control model’s simulation training, Shows that the effectiveness and feasibility of these models, an effective soft measurement and optimization control way for BFB sewage treatment have been provided.

  Info
Periodical
Chapter
Chapter 4: Fault Diagnose and Electronmechanical Control
Edited by
Zhixiang Hou
Pages
1059-1064
DOI
10.4028/www.scientific.net/AMM.128-129.1059
Citation
X. Y. Wang, M. Liu, Z. W. Liu, Z. Su, X. F. Lian, X. D. An, "Study on Soft Sensor Modeling and Optimization Control of Biological Fluidized Bed Swage Disposal", Applied Mechanics and Materials, Vols. 128-129, pp. 1059-1064, 2012
Online since
October 2011
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Price
$32.00
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