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

Ammonia desulfurization optimization control method based on multivariable predictive control

An ammonia desulfurization and predictive control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of inability to solve the control system stability and control system quality, unfavorable absorption, aerosol, etc. The effect of promoting economical and environmentally friendly operation, reducing operation frequency, and increasing robustness

Active Publication Date: 2017-09-15
SOUTHEAST UNIV
View PDF7 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Flue gas ammonia desulfurization is a relatively new environmental protection technology. Although it has many incomparable advantages over other desulfurization methods, it also faces many problems: ammonia is a dangerous product. If the amount or method of ammonia addition is improper, It will cause secondary pollution and affect the desulfurization efficiency; increasing the ammonia concentration of the absorbent is beneficial to improve the desulfurization efficiency, but at the same time it will also increase the amount of ammonia escape; supersaturation of the concentrated solution will not be conducive to SO 2 absorption and easy to crystallize to block the device; the variables are coupled with each other, which is a typical multivariate constraint process
In this case, the traditional PID control scheme cannot solve the contradiction between the stability and quality of the control system at all, and it will inevitably cause instability and oscillation of the control system, which will cause repeated fluctuations in desulfurization efficiency
Especially in the process of changing load, the limited control effect will directly affect the desulfurization efficiency, and also lead to ammonia slip and aerosol

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
  • Ammonia desulfurization optimization control method based on multivariable predictive control
  • Ammonia desulfurization optimization control method based on multivariable predictive control
  • Ammonia desulfurization optimization control method based on multivariable predictive control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment 1, further illustrate the present invention, it should be understood that embodiment is only for illustrating the present invention and is not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0042] 1) Obtain the identification model of the control object through the field dynamic response test.

[0043] Let the system export SO 2 The concentration dynamics can be determined by express. Among them, y 1 (s) is SO after desulfurization 2 Concentration, y 2 (s) is the circulating slurry pH, u 1 (s) is the ammonia water flow rate in the absorption section, u 2 (s) is the ammonia water flow into the oxidation section; G 11 (s) is the ratio of the ammonia wate...

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 an ammonia desulfurization optimization control method based on multivariable predictive control. Firstly, the overall ammonia desulfurization system is regarded as a two-in-two-out multivariable object, and the augmented state space model is obtained through identification; then, in combination of multivariable constrained predictive control and interval control, intake ammonia flows in an absorption section and an oxidation section of a desulfurization tower are controlled, and the SO2 concentration after desulfurization and the pH value of circulating slurry are guaranteed to be maintained in a given interval range. Through adopting the multivariable constrained predictive control method based on interval characteristics, the sensitivity to model errors is weakened, the robustness of the controller is enhanced, distribution of the intake ammonia flow in different reaction stages of the desulfurization tower can be better realized, coordination control demands are reduced on the premise of ensuring the desulfurization efficiency, the dynamic adjustment quality of the system is improved, the actuating frequency of an actuator is reduced, the ammonia consumption amount is reduced, and economic and environmental friendly operation of the desulfurization system is further promoted.

Description

technical field [0001] The invention belongs to the field of thermal automatic control, in particular to an ammonia desulfurization optimization control method based on multivariable predictive control. Background technique [0002] Flue gas ammonia desulfurization is a relatively new environmental protection technology. Although it has many incomparable advantages over other desulfurization methods, it also faces many problems: ammonia is a dangerous product. If the amount or method of ammonia addition is improper, It will cause secondary pollution and affect desulfurization efficiency; increasing the concentration of ammonia in the absorbent will help improve desulfurization efficiency, but at the same time it will also increase the amount of ammonia escape; supersaturation of the concentrated solution will not be conducive to SO 2 Absorption and easy crystallization to block the device; the mutual coupling between variables is a typical multivariate constraint process. T...

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
CPCG05B13/042
Inventor 黄源烽李益国刘西陲沈炯
Owner SOUTHEAST UNIV
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