Robust control optimization method based on particle swarm algorithm

A technology of particle swarm algorithm and optimization method, which is applied in the field of robust control, can solve the problems that there is no unified method for weighting function construction, the weighting function is not practical, and the experience is strong, so as to improve the accuracy of parameter optimization, wide application range, Use flexible effects

Inactive Publication Date: 2016-08-24
STATE GRID CORP OF CHINA +1
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Robust H ∞ The main technical problem encountered in the design of the controller at this stage is the need to construct a weighting function during the design process, which plays a decisive role in the controller. However, the existing theory and technology do not have a unified formal method for the construction of the weighting function. Fan Shujun In "Simulation Research on H∞ Mixed Sensitivity Design Problem" (Harbin Institute of Technology Master's Degree Thesis, 2010), the constraints of the weighted matrix are given
However, these constraints are not practical for how to quickly construct weighting functions of different control objects, and the experience is strong, so it is difficult to integrate the advanced robust H ∞ Control is widely used in industry

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 control optimization method based on particle swarm algorithm
  • Robust control optimization method based on particle swarm algorithm
  • Robust control optimization method based on particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims. These embodiments of the present invention may be referred to herein, individually or collectively, by the term "invention", which is for convenience only and is not intended to automatically limit the application if in fact more than one invention is disclosed The scope is any individual invention or inventive concept.

...

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 provides a robust control optimization method based on a particle swarm algorithm. The robust control optimization method comprises the steps of: step 1, determining weighting functions W1, W2 and W3 of a controlled object; and step 2, regarding K1 and omega c in the weighting functions as parameters of particles in a particle swarm, optimizing the K1 and the omega c by adopting the particle swarm algorithm, and outputting an H infinite controller. According to the robust control optimization method, the particle swarm algorithm is introduced into a robust control method, the parameters of the weighting functions of the controlled object are optimized, parameter optimization accuracy degree of weighting functions is increased, the obtained robust H infinite controller can optimize performance of the controlled object within a restrain range, the application range is wider, the design is simple and the use is more flexible; moreover, by introducing the particle swarm algorithm into the robust control method, the disadvantage that selection of weighting functions in a robust H infinite controller in the prior art depends on expert experiences is eliminated, so that an inexperienced scholar can construct weighting functions easily and reasonably, and the optimal robust H infinite controller can be obtained.

Description

technical field [0001] The invention belongs to the technical field of robust control, in particular to a robust control optimization method based on particle swarm algorithm. Background technique [0002] Since the early 1980s, the robust control theory developed rapidly on the framework of modern control theory, due to its consideration of system parameter uncertainty and external disturbance uncertainty, it studies the robust performance analysis and synthesis of the system , which makes up for the defect that modern control theory requires precise mathematical models of objects, and makes systematic analysis and synthesis methods more effective and practical. [0003] Robust H ∞ The main technical problem encountered in the design of the controller at this stage is the need to construct a weighting function during the design process, which plays a decisive role in the controller. However, the existing theory and technology do not have a unified formal method for the con...

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): G05B13/04
Inventor 李相俊陈金元谢巍惠东胡娟
Owner STATE GRID CORP OF CHINA
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