Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model

A technology of recursive neural network and self-adaptive control, which is applied in self-adaptive control, general control system, control/adjustment system, etc., to achieve the effects of improving accuracy, ensuring normal operation and improving anti-interference ability

Active Publication Date: 2012-04-11
BEIJING UNIV OF TECH
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By analyzing the sewage treatment process, construct a recursive neural network model, design a controller based on this model, improve the anti-interference ability of the controller, and solve the self-adaptive problem of the controller in a strong interference env...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model
  • Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model
  • Adaptive control method of dissolved oxygen (DO) based on recurrent neural network (RNN) model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0088] The present invention will be further described below in conjunction with the static implementation mode;

[0089] see figure 1 Shown is the recursive neural network topology of the present invention; figure 2 It is a structural diagram of the controller of the present invention.

[0090] The invention obtains a controller of dissolved oxygen (DO) concentration in the process of sewage treatment based on recursive neural network; the controller establishes a model of the process of sewage treatment by analyzing the process of sewage treatment, and feeds back the concentration of dissolved oxygen to the controller in real time device, and then achieve the purpose of controlling the concentration of dissolved oxygen by controlling the amount of aeration in the process of sewage treatment;

[0091] The present invention adopts following technical scheme and implementation steps:

[0092] (1) Determine the control object; the present invention mainly controls the dissol...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Aiming at the characteristics of high non-linearity, strong coupling property, time variation, large lag, serious uncertainty and the like in a sewage treatment process, the invention provides an adaptive control method based on a recurrent neural network (RNN) model, thereby realizing the control on the concentration of dissolved oxygen (DO) in the sewage treatment process. In the control method, an RNN is used for modeling the sewage treatment process so as to feed the concentration of the DO in the sewage treatment process back to a controller in real time, thus the adaptive ability of thecontroller is improved, and the DO can quickly and accurately reach the expected requirement. The method provided by the invention solves the problem that the current method based on switching control and PID (Proportion Integration Differentiation) control has poor adaptive ability. Experimental results show that the method can quickly and accurately control the concentration of DO, has strongeradaptive ability, improves the sewage treatment quality and efficiency, lowers the sewage treatment cost, and promotes the high-efficiency stable operation of a sewage treatment plant.

Description

technical field [0001] The present invention uses an adaptive controller based on a recursive neural network model to realize the control method of dissolved oxygen (DO) in the process of sewage treatment, and the control of dissolved oxygen (DO) in the process of sewage treatment is an important part of sewage treatment, which is an advanced manufacturing technology field. It belongs to both the field of water treatment and the field of control. Background technique [0002] With the growth of the national economy and the enhancement of public awareness of environmental protection, sewage treatment automation technology has ushered in unprecedented opportunities for development. The national medium and long-term scientific and technological development plan proposes to research and promote new technologies for sewage treatment with high efficiency and low energy consumption. Therefore, the research results of the present invention have broad application prospects. [0003...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G05B13/04
Inventor 乔俊飞陈启丽韩红桂
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap