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

Industrial process optimal control system and method for adaptive synchronization policy

An industrial process, optimal control technology, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve problems such as poor applicability

Inactive Publication Date: 2010-11-17
ZHEJIANG UNIV
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of existing industrial process optimal control systems and methods that it is difficult to find the optimal solution accurately and quickly and have poor applicability, the present invention provides a solution that can accurately find complex nonlinear optimal control problems and Industrial process optimal control system and method with high convergence speed and wide applicability of adaptive synchronization strategy

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
  • Industrial process optimal control system and method for adaptive synchronization policy
  • Industrial process optimal control system and method for adaptive synchronization policy
  • Industrial process optimal control system and method for adaptive synchronization policy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] refer to figure 1 , figure 2 , an industrial process optimal control system with an adaptive synchronization strategy, including a field smart instrument 2 connected to an industrial process object 1, a DCS system and a host computer 6, and the DCS system consists of a data interface 3, a control station 4, a database 5 constitutes; the on-site intelligent instrument 2, the DCS system, and the host computer 6 are sequentially connected through the field bus, and the host computer 6 includes:

[0081] The initialization module 8 is used for the setting of the initial parameters, the discretization and initial assignment of the state variable x(t) and the control variable u(t), and the specific steps are as follows:

[0082] (2.1) The time domain t∈[t 0 , t f ] is divided into NE segments: [t 0 , t 1 ], [t 1 , t 2 ],...,[t NE-1 , t NE ],

[0083] where t NE = t f , let the length of each time segment be h i (i=1, 2, ..., NE), use h to represent the NE-dimens...

Embodiment 2

[0115] refer to figure 1 and figure 2 , an optimal control method for an industrial process with an adaptive synchronization strategy, which is implemented in the following steps:

[0116] 1) Specify the state variables and control variables in the DCS system, and set the upper and lower boundaries of the control variables u according to the conditions of the actual production environment and operating restrictions ub , u lb and the sampling period of the DCS, and the historical data of the corresponding variables in the DCS database 5, the upper and lower boundary values ​​of the control variables u ub , u lb sent to the host computer.

[0117] 2) In the initialization module 8 of the upper computer, the initial parameters are set, and the data input by the DCS system is initialized, and the process is completed according to the following steps:

[0118] (2.1) The time domain t∈[t 0 , t f ] is divided into NE segments: [t 0 , t 1 ], [t 1 , t 2 ],...,[t NE-1 , t ...

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 industrial process optimal control system for an adoptive synchronization policy, which comprises an onsite intelligent instrument, a DCS system and a host computer, wherein the onsite intelligent instrument is connected with an industrial process object; the industrial process object, the onsite intelligent instrument, the DCS system and the host computer are connected with one another in turn; and the host computer comprises a signal acquisition module, an initialization module, a variable discrete module, a constraint processing module, a model transformation module, a solution module and a result output module. The invention also provides industrial process optimal control method for the adoptive synchronization policy, which comprises the steps of performing segmental discrete configuration on control variables and performing adaptive adjustment on the time domain segment length. The system and the method have stable and quick solution in the process of solving a complex non-linear industrial process optimal control problem, have high calculation accuracy, and are the optimal control system and method with extensive applicability.

Description

technical field [0001] The invention relates to the field of industrial process control, in particular to an industrial process optimal control system with an adaptive synchronization strategy. Background technique [0002] Using the optimal control method to solve the bottleneck problem and tap the potential to increase efficiency in the optimal control of industrial processes has been paid more and more attention by domestic and foreign academic and industrial circles. The optimization model of industrial process dynamic system often contains a set of complex large-scale nonlinear differential equations, and also includes nonlinear equality or inequality path constraints and point constraints. Therefore, the difficulty of optimal control lies in the need to seek the optimal value of the objective functional on the basis of the dynamic model, and its essence is to solve an infinite-dimensional optimization problem. The commonly used iterative dynamic programming method, ge...

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): G05B19/418
CPCY02P90/02
Inventor 刘兴高陈珑
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