Robust heuristic iterative learning control method for metal bar temperature distribution system

An iterative learning control and temperature distribution technology, which is applied in temperature control, electric temperature control, auxiliary controller with auxiliary heating device, etc., can solve the problem of affecting system dynamic characteristics, system parameter drift, and system state is difficult to be accurate Measurement and other issues

Active Publication Date: 2021-02-05
JIANGNAN UNIV
View PDF14 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to changes in the environment, system parameters will drift, making the actual system uncertain, and the state of the system is difficu

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
  • Robust heuristic iterative learning control method for metal bar temperature distribution system
  • Robust heuristic iterative learning control method for metal bar temperature distribution system
  • Robust heuristic iterative learning control method for metal bar temperature distribution system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0166] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0167] An iterative learning control method for a metal rod temperature distribution system, such as figure 1 As shown, the metal rod temperature distribution system includes metal rods, temperature sensors and actuators. The temperature sensors and actuators are distributed on the metal rods. The metal rod temperature distribution system is also the actual physical model.

[0168] For the metal rod thermodynamic equation described in formula (1), take the thermal diffusivity as λ=1.5±0.5[m 2 the s -1 ], sampling time T=0.05[s], sampling distance h=0.5[m], the model of formula (4) is as figure 2 As shown, each parameter matrix is:

[0169] Such as figure 1 Three pairs of temperature sensors and actuators evenly distributed on the metal rod shown, in the example image 3 In the method flow shown, the temperature at the initial momen...

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 robust heuristic iterative learning control method for a metal bar temperature distribution system, and relates to the field of iterative learning control. The robust heuristic iterative learning control method comprises the steps of: carrying out discretization of a metal bar thermodynamic equation through employing a finite difference method for a metal bar system to obtain a partial recursion equation, and converting the partial recursion equation into a spatial interconnection system model; converting the spatial interconnection system model into an equivalent one-dimensional dynamic model by using a lifting vector technology; designing a controller based on state feedback; constructing a controller based on output information by using the controller; converting a controlled object into an equivalent discrete repetitive process according to a designed iterative learning law; and converting a controller comprehensive problem into a linear matrix inequalitybased on stability analysis of a repetitive process. The robust heuristic iterative learning control method is simple and easy to implement, solves the problem of non-convex stability generally causedby static output feedback, considers the problems of model uncertainty and disturbance suppression of the system, and has good control performance and robustness.

Description

technical field [0001] The invention relates to the field of metal rod temperature distribution, in particular to a robust heuristic iterative learning control method for a metal rod temperature distribution system. Background technique [0002] The metal rod temperature distribution system is a kind of spatial distribution parameter system in which temperature sensors and actuator arrays are evenly distributed on the surface of the metal structure. This type of system has nonlinear, time-space coupling and infinite-dimensional characteristics, and the operating state of the system is usually described by partial differential equations. . [0003] The metal rod temperature distribution system is widely used in industrial production processes, such as the control of the temperature field distribution in the tube of the tubular reactor, and it also has certain applications in the optical fiber smart metal structure, which can reflect the temperature operation status of the met...

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): G05D23/30G05D23/32
CPCG05D23/303G05D23/32
Inventor 陶洪峰周龙辉庄志和魏俊誉
Owner JIANGNAN 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