化工学报 ›› 2016, Vol. 67 ›› Issue (3): 1032-1039.DOI: 10.11949/j.issn.0438-1157.20151947

• 研究论文 • 上一篇    下一篇

基于线性自抗扰的城市污水脱氮控制仿真

魏伟, 王小艺, 王藩, 刘载文   

  1. 北京工商大学计算机与信息工程学院, 北京 100048
  • 收稿日期:2015-12-22 修回日期:2015-12-29 出版日期:2016-03-05 发布日期:2016-01-12
  • 通讯作者: 魏伟
  • 基金资助:

    国家自然科学基金项目(61403006);北京市属高等学校高层次人才引进与培养计划项目(YETP1449,CIT&TCD201404031);科研基地建设—科技创新平台—现代商科特色项目(PXM2015_014213_000063);北京市教委科技计划重点项目(KZ201510011011)。

Nitrogen removal in wastewater treatment processes based on linear active disturbance rejection control and its dynamic simulation

WEI Wei, WANG Xiaoyi, WANG Fan, LIU Zaiwen   

  1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
  • Received:2015-12-22 Revised:2015-12-29 Online:2016-03-05 Published:2016-01-12
  • Contact: 67
  • Supported by:

    supported by the National Natural Science Foundation of China (61403006), the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions (YETP1449, CIT&TCD201404031), the Project of Scientific and Technological Innovation Platform (PXM2015_ 014213_000063) and the Major Project of Beijing Municipal Education Commission Science and Technology Development Plans (KZ201510011011).

摘要:

根据A/O工艺的脱氮原理,基于城市污水处理的1号基准动力学模型,分析影响脱氮过程的两个重要因素:硝态氮和溶解氧,利用线性自抗扰实现城市污水处理过程的脱氮控制。基于硝态氮和溶解氧分别设计线性自抗扰控制,既避免对复杂数学模型的依赖,又克服影响污水出水水质的波动因素,可获得较好的污水处理效果。动态仿真结果表明,线性自抗扰具有更好的控制性能。基于线性自抗扰的脱氮控制有利于提高污水处理的脱氮效率,改善出水水质。

关键词: 污水, 动力学模型, 脱氮, 线性自抗扰, 控制, 动态仿真

Abstract:

Based on A/O nitrogen removal process and the kinetic model, Benchmark Simulation Model No.1, two significant factors, nitrate nitrogen and dissolved oxygen, affecting nitrogen removal in wastewater treatment process are considered. Linear active disturbance rejection control (LADRC) is adopted to realize the removal of nitrogen. The control laws designed for nitrate nitrogen and dissolved oxygen do not rely on faithful mathematical models, which make the effluent quality of wastewater be robust enough to uncertainties and fluctuant factors, and nice performance is obtained. Dynamic simulation results show that LADRC has better performance. It can improve the efficiency of nitrogen removal and the effluent quality of wastewater.

Key words: wastewater, kinetic model, nitrogen removal, LADRC, control, dynamic simulation

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