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

Advanced control method and system for vertical mill based on model identification and predictive control

A technology of model identification and predictive control, applied in cement grinding, grain processing, cement production, etc., can solve problems such as nonlinearity, large lag, strong coupling, etc., to improve robustness, reduce output energy consumption ratio, The effect of improving economic efficiency

Inactive Publication Date: 2011-08-17
ZHEJIANG UNIV
View PDF0 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide an advanced vertical mill control method and system based on model identification and predictive control, so as to improve the backward control mode of the cement vertical mill system, low equipment production efficiency and operation rate, and the operator's work. The current situation of high strength, etc., and overcome its own defects such as large lag, strong coupling, nonlinearity, etc.

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
  • Advanced control method and system for vertical mill based on model identification and predictive control
  • Advanced control method and system for vertical mill based on model identification and predictive control
  • Advanced control method and system for vertical mill based on model identification and predictive control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention has a multi-objective optimization function, and is compatible with static optimization and dynamic optimization, and can obtain the optimal target setting value according to changes in the basic operating conditions of the vertical mill and product quality requirements, and call the online model identification module to re-identify the mathematical model of the grinding process , and update the above optimal target set value and process model to the predictive controller; dynamic optimization refers to the use of predictive control algorithms with rolling error compensation, convex optimization and closed-loop feedback functions to automatically find the target set value Optimum control path to ensure the minimum accumulative value of the control variable change and the fastest approach to the target value.

[0040] In the present invention, the process monitoring module, target optimization module, predictive controller, model identification modul...

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 raw material grinding in the field of cement process industries, and aims to provide an advanced control method and system for a vertical mill based on model identification and predictive control. The method comprises the following steps of: acquiring real-time data from a distributed control system (DCS) monitoring system; analyzing a variation trend of the operation and technology parameters, and then invoking a pathological working condition expert database for performing trend matching; if a pathological working condition appears, issuing early warning display and giving qualitative adjustment suggestion remind; giving an optimal target set value according to the basic operation condition of the vertical mill and the variation situation of the product quality requirement, and writing into a predictive controller; setting an optimal controlled quantity output according to the optimal target set value, and outputting to the DCS monitoring system to control a field actuator to take action. By adopting the invention, the qualitative adjustment suggestion can be precisely given; a mathematical model of the grinding process of the vertical mill is established and updated in real time; the steady-state error of the control system is reduced; and the grinding process of the vertical mill is instructed, so that the mill can operate stably for long term at a maximum efficiency point, and stable margin is maintained.

Description

technical field [0001] The invention relates to the field of raw meal grinding in the field of cement process industry, in particular to an advanced control method and system for vertical mills based on model identification and predictive control. Background technique [0002] At present, the raw meal grinding process in the cement process industry accounts for 30% to 40% of the total energy consumption in the cement production process. The original raw meal production process is still dominated by ball mill grinding, but the ball mill not only has a low stand-alone output, but also the production process Large dust, loud noise, high output energy consumption ratio. The vertical mill adopts drying and air-sweeping technology, and integrates the mill and the powder separator, which improves the grinding efficiency. The designed output of a single machine is close to twice that of a ball mill with the same volume; the high negative pressure is always maintained in the mill, wh...

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): B02C25/00
CPCY02P40/20Y02P40/10
Inventor 颜文俊孟濬郑军秦伟张进峰李沛然
Owner ZHEJIANG 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