Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-objective optimization control method for predictive control of desulfurization system based on multi-modal model

A technology of model predictive control and multi-objective optimization, which is applied in the fields of model predictive control, desulfurization system optimization control, and multi-objective optimization, and can solve the problems that the desulfurization system model cannot be predicted in real time and the accuracy is poor.

Pending Publication Date: 2020-09-01
DATANG ENVIRONMENT IND GRP
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The second purpose of the present invention is to provide a multi-objective optimal control method for desulfurization system based on multi-modal model predictive control, aiming to solve the problem that the existing desulfurization system model cannot be predicted in real time and has poor accuracy

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-objective optimization control method for predictive control of desulfurization system based on multi-modal model
  • Multi-objective optimization control method for predictive control of desulfurization system based on multi-modal model
  • Multi-objective optimization control method for predictive control of desulfurization system based on multi-modal model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] In describing the present invention, it is to be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Back", "Left", "Right", "Straight", "Horizontal", "Top", "Bottom", "Inner", "Outer", "Clockwise", "Counterclockwise", etc. or The positional relationship is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather t...

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 relates to a multi-objective optimization control method for predictive control of a desulfurization system based on a multi-modal model. The multi-objective optimization control methodfor predictive control of the desulfurization system based on the multi-modal model comprises the following steps: establishing a database by taking historical data of the desulfurization system and ahost system recorded by a DCS control system as a data source for process characteristic analysis; performing normalization processing on the database; establishing an absorption tower model, establishing a slurry pool model, establishing a desulfurization efficiency model and establishing other necessary models and connecting units; identifying a steady-state point linear state space; and predicting future system dynamics based on the linear state space model. According to the multi-objective optimization control method for predictive control over the desulfurization system based on the multi-modal model, multi-objective steady-state optimization, uncertainty compensation and nonlinear predictive control are combined, and multi-objective real-time optimization control over the desulfurization system is achieved.

Description

technical field [0001] The invention relates to the fields of optimal control, model predictive control, and multi-objective optimization of desulfurization systems, in particular to a multi-objective optimal control method for desulfurization systems based on multimodal model predictive control. Background technique [0002] At present, the world's energy shortage and environmental pollution are increasingly concerned. Flue gas from coal-fired power plants contains a large amount of SO 2 , carbon monoxide, hydrocarbons, nitrogen oxides, dust and other pollutants, corresponding technologies must be used to control emissions. In order to control the air pollution caused by flue gas emissions from coal-fired power plants, the executive meeting of the State Council discussed in depth the environmental protection policy of fully implementing ultra-low emissions from coal-fired power plants and strengthening energy conservation and emission reduction. The meeting finally decided...

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): G06F30/20G06Q10/04G06F111/06G06F111/04
CPCG06F30/20G06Q10/04G06F2111/06G06F2111/04Y02P90/02
Inventor 竺森林胡建垠杨路宽
Owner DATANG ENVIRONMENT IND GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products