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动态污水处理过程的多模型动态矩阵控制

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薛美盛, 杨彦波, 刘飞, 赵铁彪. 动态污水处理过程的多模型动态矩阵控制[J]. 环境工程学报, 2013, 7(3): 957-962.
引用本文: 薛美盛, 杨彦波, 刘飞, 赵铁彪. 动态污水处理过程的多模型动态矩阵控制[J]. 环境工程学报, 2013, 7(3): 957-962.
shu
Xue Meisheng, Yang Yanbo, Liu Fei, Zhao Tiebiao. Multi-model dynamic matrix control for dynamic wastewater treatment process[J]. Chinese Journal of Environmental Engineering, 2013, 7(3): 957-962.
Citation: Xue Meisheng, Yang Yanbo, Liu Fei, Zhao Tiebiao. Multi-model dynamic matrix control for dynamic wastewater treatment process[J]. Chinese Journal of Environmental Engineering, 2013, 7(3): 957-962.
shu

动态污水处理过程的多模型动态矩阵控制

  • 1.

    中国科学技术大学自动化系,合肥 230026

  • 基金项目:

    国家"863"高技术研究发展计划项目(2007AA04Z195)

    国家"水体污染控制与治理"科技重大专项(2009ZX07210-003)

  • 中图分类号: X703

Multi-model dynamic matrix control for dynamic wastewater treatment process

  • 1.

    Department of Automation, University of Science and Technology of China, Hefei 230026, China

  • Fund Project:

摘要

  • 摘要: 针对活性污泥法污水处理系统的强耦合和动态变化特性,提出一种用于前置反硝化脱氮工艺的多模型动态矩阵(DMC)解耦控制方法;通过K-均值聚类分析法对外界入水中氨氮浓度进行聚类,获得以聚类中心为入水氨氮浓度的静态模型集合,分别设计线性DMC解耦控制器;再以当前时刻外界进水氨氮浓度和聚类中心为基本元素,构造切换函数,实现多模型切换。将该方法应用于活性污泥1号模型(ASM1)中,获得了较好的动态仿真效果。
    Abstract: To address the strong coupling effect and dynamic change in wastewater treatment process using activated sludge method (ASM), a multi-model DMC decoupling-control method is proposed for the pre-denitrification process. The ammonia nitrogen concentration of inflow is clustered first using K-means method, so as to obtain the static model database which takes the centrums as the ammonia nitrogen concentration.The linear DMC decoupling-control controllers are then designed with respect to the different models. Switching index function is further designed based on the current ammonia nitrogen concentration and centrum, so as to achieve multi-model switching. The proposed method is applied to wastewater treatment process using Activated Sludge Model 1 (ASM1) and satisfactory performance in dynamic simulation is obtained.
  • [1] Henze M., Jr C. G., Gujer W., et al. Activated sludge model No1. London: IAWQ.1986
    [2] Henze M., Gujer W., Mino T., et al. Activated Sludge Models ASM1, ASM2, ASM2D and ASM3. Scientific and technical report No.9. 2000
    [3] Takacs I., Patry G., Nolasco D. A dynamic model of the clarification thickening process. Water Research, 1991, 25(10):1263-1271
    [4] Henze M., Harremoes P., Jansen J., et al. Wastewater Treatment-Biological and Chemical Processes(3rd ed.), Springer, 1999. 75-76
    [5] 袁德成,樊立萍,于海斌. 典型污水生化处理过程仿真平台的构造. 系统仿真学报, 2003,15(11):1509-1513 Yuan Decheng, Fan Liping, Yu Haibin. The simulation platform construction for classic wastewater treatment process. Journal for System Simulation, 2003, 15(11):1509-1513 (in Chinese)
    [6] 王晓莲,彭永臻,马勇,等. 污水厂控制策略的国际评价基准. 中国给水排水, 2004,20(11):32-35 Wang Xiaolian, Peng Yongzhen, Ma Yong, et al. The internal evaluation benchmarks for control strategies of wastewater treatment plant. China Water & Wastewater, 2004, 20(11):32-35 (in Chinese)
    [7] 郑敏洁,杨马英. 污水处理过程的多变量预测控制. 华东理工大学学报, 2006,32(7):829-831 Zhen Minjie, Yang Maying. The multivariate predictive control for wastewater treatment process. Journal of East China University of Technology, 2006, 32(7):829-831 (in Chinese)
    [8] J MacQueen. Some methods for classification and analysis of multivariate observations. Proc. 5th Berkeley Symposium on Mathematical Statistics and Probability. Prob.1967, 1:281-297
    [9] 谢生钢. 基于活性污泥模型的污水处理过程预测控制方法研究. 杭州:浙江大学硕士学位论文. 2008 Xie Shenggang. The predictive control method research of wastewater treatment process based on activated sludge model. Hangzhou: Master Dissertation of Zhejiang University,2008 (in Chinese)
    [10] Maciejowski J. M. Predictive control with constraints. Englewood Cliffs, NJ: Prentice Hall, 2002
    [11] Rossitier J. A. Model based predictive control-A practical Approach. CRC Press, 2003
    [12] 薛美盛,杨彦波,魏衡华,等. 非线性系统的多模型DMC解耦设计. 控制工程, 2011,18(6):922-926 Xue Meisheng, Yang Yanbo, Wei Henghua, et al. Multi-model DMC decoupling method design for nonlinear system. Control Engineering of China, 2011, 18(6):922-926 (in Chinese)
    [13] 薛美盛,樊弟,魏衡华. 多变量系统的广义预测控制解耦设计. 控制工程, 2011,18(1):39-42 Xue Meisheng, Fan Di, Wei Henghua. Decoupling design of generalized predictive control for multivariable control system. Control Engineering of China, 2011, 18(1):39-42 (in Chinese)
    [14] Sanchez A., Katebi M.R. Predictive control of dissolved oxygen in an activated sludege wastewater treatment plant. Proc. ECC, Cambridge UK. 2003
    [15] Allaoui T., Denai M. A., Bouhamida M., et al. Robust control of unified power flow controller. Journal of Electrical & Electronics Engineering, 2007, 7(1): 331-343
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出版历程
  • 收稿日期:  2012-01-21
  • 刊出日期:  2013-03-18
薛美盛, 杨彦波, 刘飞, 赵铁彪. 动态污水处理过程的多模型动态矩阵控制[J]. 环境工程学报, 2013, 7(3): 957-962.
引用本文: 薛美盛, 杨彦波, 刘飞, 赵铁彪. 动态污水处理过程的多模型动态矩阵控制[J]. 环境工程学报, 2013, 7(3): 957-962.
shu
Xue Meisheng, Yang Yanbo, Liu Fei, Zhao Tiebiao. Multi-model dynamic matrix control for dynamic wastewater treatment process[J]. Chinese Journal of Environmental Engineering, 2013, 7(3): 957-962.
Citation: Xue Meisheng, Yang Yanbo, Liu Fei, Zhao Tiebiao. Multi-model dynamic matrix control for dynamic wastewater treatment process[J]. Chinese Journal of Environmental Engineering, 2013, 7(3): 957-962.
shu

动态污水处理过程的多模型动态矩阵控制

  • 1. 中国科学技术大学自动化系,合肥 230026
  • 收稿日期:  2012-01-21
基金项目:

国家"863"高技术研究发展计划项目(2007AA04Z195)

国家"水体污染控制与治理"科技重大专项(2009ZX07210-003)

摘要: 针对活性污泥法污水处理系统的强耦合和动态变化特性,提出一种用于前置反硝化脱氮工艺的多模型动态矩阵(DMC)解耦控制方法;通过K-均值聚类分析法对外界入水中氨氮浓度进行聚类,获得以聚类中心为入水氨氮浓度的静态模型集合,分别设计线性DMC解耦控制器;再以当前时刻外界进水氨氮浓度和聚类中心为基本元素,构造切换函数,实现多模型切换。将该方法应用于活性污泥1号模型(ASM1)中,获得了较好的动态仿真效果。

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