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TYPE-2 FUZZY NEURAL NETWORK-BASED COOPERATIVE CONTROL METHOD FOR WASTEWATER TREATMENT PROCESS

机译:基于2型模糊神经网络的废水处理过程的合作控制方法

摘要

A cooperative fuzzy-neural control method is designed in this present invention. Due to the difficulty for cooperatively controlling the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process, a cooperative fuzzy-neural control method is investigated. In this proposed method, firstly, a interval type-2 fuzzy neural network is employed to construct the cooperative fuzzy-neural controller. Secondly, a parameter cooperative strategy is proposed to cooperatively optimize the global and local parameters of the cooperative fuzzy-neural controller to meet the control requirements. This proposed cooperative fuzzy-neural control method can cooperatively control the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process. The results illustrate that the proposed cooperative fuzzy-neural control method can achieve the high control accuracy and guarantee the normal operations of wastewater treatment process under the different operation conditions.
机译:在本发明中设计了一种协作模糊神经控制方法。由于难以协同控制废水处理过程中溶解氧和硝酸盐氮的浓度,研究了合作模糊神经控制方法。在这种提出的方​​法中,首先,采用间隔类型-2模糊神经网络来构造协作模糊神经控制器。其次,提出了参数合作策略,以协同优化协同模糊神经控制器的全局和局部参数,以满足控制要求。该提出的协作模糊神经控制方法可以协同控制废水处理过程中溶解氧和硝酸盐氮的浓度。结果说明所提出的协作模糊神经控制方法可以达到高控制精度,并保证在不同操作条件下废水处理过程的正常操作。

著录项

  • 公开/公告号US2021087074A1

    专利类型

  • 公开/公告日2021-03-25

    原文格式PDF

  • 申请/专利权人 BEIJING UNIVERSITY IF TECHNOLOGY;

    申请/专利号US201916694911

  • 申请日2019-11-25

  • 分类号C02F1/20;C02F1/58;C02F3/30;G05B13/02;G06N3/04;G06N3/08;G06N20/10;G06F17/16;G06F17/18;

  • 国家 US

  • 入库时间 2022-08-24 17:54:47

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