Model prediction tracking control method in batch chemical engineering

A chemical process and model prediction technology, applied in the field of automation, can solve problems such as low device efficiency, high product specifications and quality, and unsatisfactory control accuracy and stability, so as to improve accuracy, improve control stability, improve tracking performance and The effect of anti-interference

Active Publication Date: 2017-09-15
HANGZHOU DIANZI UNIV +2
View PDF5 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, iterative learning control method, robust iterative learning control method, batch process control method combining model predictive control and iterative learning control, etc., but due to cost and quality constraints, simple process control methods have been unable to meet the control accuracy and stability. Due to the low product qualification rate and low device efficiency, the r

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
  • Model prediction tracking control method in batch chemical engineering
  • Model prediction tracking control method in batch chemical engineering
  • Model prediction tracking control method in batch chemical engineering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] Take the injection molding process as an example:

[0079] Here we take the pressure-holding control in the injection molding process as an example to describe, and the adjustment method is to control the valve opening of the proportional valve.

[0080] Step 1. Establish the input and output model of the pressure holding control, the specific method is:

[0081] 1.1 First collect the input and output data of the pressure-holding control process, and use the data to establish the model of the pressure-holding control process, in the form as follows:

[0082] A(q t -1 )y(t,k)=B(q t -1 )u(t,k)

[0083] A(q t -1 )=1+H 1 q t -1 +H 2 q t -2 +…+H m q t -m

[0084] B(q t -1 ) = L 1 q t -1 +L 2 q t -2 +…+L n q t -n

[0085] Where t and k are the discrete time and cycle index respectively, y(t,k) and u(t,k) are the holding pressure control pressure and valve opening at time t in the k cycle, q t -1 ...q t -m ,q t -1 ...q t -n They are operato...

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 model prediction tracking control method in batch chemical engineering. According to the invention, the method introduces an improved state space model to the model prediction control and iterative learning control method so as to increase the control properties in batch manufacturing. Different from traditional state space models, the method herein, in the state model structure in the proposed method, introduces the dynamic combination between a process state variable and output tracking errors, and uses the improved process model. By using the improved technical solution, the method can obtain controllers which have more freedom to regulate control properties, and can achieve better controlling effects.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a model prediction tracking control method for a batch chemical process. Background technique [0002] In actual industrial production, the batch process repeats the same process operation, and the product specification and quality it produces have a decisive impact on the market value of the product. With the competition in the market, the requirements for product specification, quality and operation accuracy are getting higher and higher. The higher it gets, the more complicated the process becomes. In order to meet the increasing product quality requirements, a series of control methods have emerged in the batch process. For example, iterative learning control method, robust iterative learning control method, batch process control method combining model predictive control and iterative learning control, etc., but due to cost and quality constraints, simple process control me...

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): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 张日东靳其兵张建明
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