Combustion process multivariable control method for CFBB (circulating fluidized bed boiler)

A circulating fluidized bed, multi-variable control technology, applied in the direction of fluidized bed combustion equipment, combustion methods, fuels burned in a molten state, etc., can solve the multi-variable process that does not exert predictive control, and does not solve the multi-variable process well Coupling problems and other problems to achieve strong robustness, inaccurate solutions, and excellent decoupling effects

Inactive Publication Date: 2012-06-13
ZHEJIANG UNIV
View PDF6 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Model predictive control is another widely used control strategy in the field of industrial processes. There have been many literatures on the application of predictive control in the boiler combustion process, but most of them focus on single process variables such as

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
  • Combustion process multivariable control method for CFBB (circulating fluidized bed boiler)
  • Combustion process multivariable control method for CFBB (circulating fluidized bed boiler)
  • Combustion process multivariable control method for CFBB (circulating fluidized bed boiler)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention will be further described below in conjunction with accompanying drawing.

[0015] The multi-variable generalized predictive control system of the circulating fluidized bed boiler combustion process of the present invention is as follows: figure 1 As shown, in this control system, the data memory stores several groups of real-time data of boiler operation through data acquisition equipment: main steam pressure, material bed temperature, flue gas oxygen content, coal feed rate, primary air volume, and secondary air volume. The model online parameter identification module reads the historical data in the data memory, and identifies the CARIMA model suitable for control online. The error judgment module calculates the error between the model prediction output and the actual output of the process, and chooses whether to enable the error based on the least squares support vector machine. Compensation, based on the historical operation data, CARIMA model...

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 combustion process multivariable control method for a CFBB (circulating fluidized bed boiler), which is realized in the following procedures: in each control period, collecting operational parameters of the boiler through data collecting equipment and storing the operational parameters in a data storage module; utilizing the history data in a memorizer to on-line identify the CARIMA model and present P step future moment predominant values such as process output variable main steam pressure, material bed temperature and flue gas oxygen content through a model on-lineparameter identification module of GPC (generalized prediction control); performing error compensation to the process future moment prediction output through an error estimation module of an LSSVM (least square support vector machine); and referring the reference trace obtained by a trace generator, performing rolling optimization in GPC for the process future moment prediction output, and calculating through the optimized algorithm to enable the process actual output to reach the set value. The method provided by the invention solves the time varying problem of the model parameter, and enables the control system to have stronger robustness.

Description

technical field [0001] The invention relates to a control method for the combustion process of a circulating fluidized bed boiler, specifically a multivariable generalized predictive control method based on least squares support vector machine error compensation, involving automation technology and pattern recognition technology, and used for the boiler combustion process control. Background technique [0002] The circulating fluidized bed boiler (CFBB) is developed on the basis of the bubbling fluidized bed boiler. The characteristics of desulfurization in the furnace and low-temperature combustion inherent in the fluidized bed combustion method greatly reduce NO X Emissions make the fluidized bed boiler a widely used power equipment for steam production. While the capacity of circulating fluidized bed boilers is constantly increasing, there are problems of low automation level of combustion system and low quality of automatic control. Circulating fluidized bed boilers i...

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): F23C10/28
Inventor 杨荻金晓明
Owner ZHEJIANG 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