Multi-target optimization control method based on dynamic variable value

A multi-objective optimization and control method technology, applied in the field of complex industrial process modeling and optimization control, can solve problems such as small controllable range of energy consumption and fines, difficulty in balancing energy consumption and fines, and difficulty in tracking.

Active Publication Date: 2018-09-18
JIANGNAN UNIV
View PDF10 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This control method is not only difficult to track, but also has a small controllable range for energy consumption and fines, making it difficult to balance the two indicators of energy consumption and fines

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
  • Multi-target optimization control method based on dynamic variable value
  • Multi-target optimization control method based on dynamic variable value
  • Multi-target optimization control method based on dynamic variable value

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] This embodiment provides a multi-objective optimal control method based on dynamic variable values:

[0075] For the sewage treatment process with complex, nonlinear and strong coupling characteristics, the International Water Quality Association and the European Union Science and Technology and Cooperation Organization jointly developed the benchmark simulation model No. 1 (Benchmark Simulation Model 1, BSM1), the simulation research on the activated sludge method and intelligent control lay the foundation, such as figure 1 , showing the structure of the BSM1 system, where Q 0 is the water flow rate, Q 0 is the water flow rate, Q 0 is the sludge flow rate, Q 0 is the internal return flow, Q 0 is the external return flow, S O4set Set value for the dissolved oxygen concentration of unit 4, S O5set Set value for dissolved oxygen concentration of unit 5, S NO2set Set value for the concentration of nitrate nitrogen in the second unit. Combine below figure 1 As show...

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

The invention discloses a multi-target optimization control method based on a dynamic variable value and belongs to the field of modeling and optimization control of complex industry processes. According to the invention, based on a sewage processing mechanism model, by improving a traditional control method, designing 3 dynamic variable value tracking controllers and carrying out dynamic optimization on setting values of each controller in each optimization period, dynamic variable value tracking control of dissolved oxygen concentration of fourth and fifth reaction units and nitrate nitrogenconcentration of the second reaction unit is achieved, so a problem of big tracking difficulty in traditional control mode is solved; by taking the setting values of the controllers as auxiliary variables, soft measurement modeling of energy consumption and penalties is performed; and finally, by use of an intelligent decision multi-target particle swarm algorithm, optimization is performed on setting values of the controllers, so an optimal setting value combination in each optimal period is obtained, the effect of balancing two indexes of energy consumption and discharged water quality is achieved, and under the premise that the discharged water quality is ensured, the energy consumption and penalties are kept in a quite low level simultaneously.

Description

technical field [0001] The invention relates to a multi-objective optimal control method based on dynamic variable values, which belongs to the field of complex industrial process modeling and optimal control. Background technique [0002] The sewage treatment process is a complex process industrial system with high energy consumption. Its operation runs continuously and it is necessary to ensure that the quality of the effluent water meets the standard. The activated sludge method is currently widely used in the process of urban sewage treatment. This method mixes wastewater with activated sludge and aerates it, and uses the coagulation, adsorption and oxidation of microorganisms in the activated sludge to reduce organic pollution in sewage. concentration of the substance. In the process of treating sewage by activated sludge method in sewage treatment plants, in order to ensure the completion of biochemical reactions, sewage treatment plants need to reduce the dissolved o...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 熊伟丽李永明马君霞
Owner JIANGNAN UNIV
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