Fractional order PFC method of industrial heating furnace system

A predictive function control and predictive function technology, applied in the field of automation, can solve problems such as poor control effect

Active Publication Date: 2015-12-23
HANGZHOU DIANZI UNIV +1
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a class of fractional-order systems, traditional PID control methods and integer-order predictive function control methods are not very effective in controll

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
  • Fractional order PFC method of industrial heating furnace system
  • Fractional order PFC method of industrial heating furnace system
  • Fractional order PFC method of industrial heating furnace system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Take the temperature process control of the heating furnace in the actual process as an example:

[0056] The fractional order model is obtained from the real-time temperature data of the heating furnace, and the adjustment method of the temperature control system is to control the opening of the valve.

[0057]Step 1. Establish the fractional-order linear model of the temperature object in the actual process. The specific method is:

[0058] 1.1 Collect the real-time input and output data of the heating furnace temperature object, use the temperature data to establish the fractional order differential equation model of the heating furnace temperature object at time t, the form is as follows:

[0059] c 2 y ( α 2 ) ( t ) + c 1 ...

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 fractional order PFC method of an industrial heating furnace system. A traditional PID control method and an integer order PFC method have poor control effects on a kind of fractional order system. The control method of the invention comprises: firstly employing an Oustaloup approximation method to approximate a fractional order system into an integer order system; building a prediction output model based on an Oustaloup approximation model; expanding an integer order PFC method to a fractional order PFC method; introducing a fractional order calculus operator into an object function; and furthermore designing a fractional order prediction function controller based on the prediction model and selected performance indexes. The fractional order PFC method can be well applied to the real process objects described by a fractional order model, omit the order reduction step of the integer order PFC method to control a high order system model, meanwhile increase the flexibility of adjusting controller parameters, and obtain good control performances.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a fractional predictive function control (FPFC) method of an industrial heating furnace system. Background technique [0002] In the actual industrial control process, as the requirements for product control accuracy and safe operation are getting higher and higher, many complex objects cannot be accurately described by integer-order differential equations, and fractional-order differential equations can describe objects more accurately. Characterize and evaluate product performance. Predictive Function Control (PFC), as one of the advanced control methods, has the characteristics of small amount of calculation, strong robustness, and good control performance, and has been successfully applied in a large number of actual process control. For a class of fractional-order systems, traditional PID control methods and integer-order predictive function control methods are not very ef...

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
Inventor 邹琴张日东
Owner HANGZHOU DIANZI 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap