Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Low-complexity and adaptive saturation control method for nonlinear system

A non-linear system, low-complexity technology, applied in the field of non-linear system low-complexity adaptive saturation control, can solve problems such as large amount of calculation

Active Publication Date: 2019-07-12
JIANGSU VOCATIONAL INST OF ARCHITECTURAL TECH
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the computational complexity can be greatly reduced, it is still computationally expensive to update NN or fuzzy logic system elements, especially for high-order nonlinear systems

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
  • Low-complexity and adaptive saturation control method for nonlinear system
  • Low-complexity and adaptive saturation control method for nonlinear system
  • Low-complexity and adaptive saturation control method for nonlinear system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057]In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below in conjunction with the drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the invention. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. Embodiments of the present invention will be described in detail be...

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 low-complexity and adaptive saturation control method for a nonlinear system. The control method comprises the following steps of: firstly, converting control saturation nonlinearity into a linear model relative to an actual input signal by adopting a dead zone model; then, converting an original system with time-varying output constraint into unconstrained output constraint, and designing a new adaptive saturation control law along the filtered error manifold based on the system; and finally, by adopting the minimum learning parameter technology and the virtual errorconcept, only requiring update of two adaptive parameters on line to greatly reduce the calculation burden. Compared to the current work, the calculation amount of the adaptive scheme is small, and the asymptotic stability of the tracking error system can be ensured instead of the consistent final bounded stability. The adopted simulation shows that an improvement of about 4 times in tracking accuracy can be obtained, which demonstrates the effectiveness of the proposed control law.

Description

technical field [0001] The invention relates to a control algorithm, in particular to a low-complexity self-adaptive saturation control method for a nonlinear system. Background technique [0002] Over the past few decades, there has been increasing interest in the study of adaptive control system methods for nonlinear systems, such as Duffing-Holmes chaotic systems and reluctance motor systems, and remarkable research results have been achieved, such as based on Adaptive neural network (NN) control, perturbed strict feedback nonlinear systems, and barrier Lyapunov function (BLF) based output control are all used for strict feedback systems with unknown nonlinearities. [0003] Among existing adaptive control schemes, backstepping techniques have been developed as effective tools for dealing with nonlinear cascaded systems (also known as strict or pure feedback systems). For example, an adaptive neural control protocol based on input-to-state stability (ISS) was developed f...

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
CPCG05B13/042
Inventor 张刚刘志坚李德路侯文宝沈永跃吴玮
Owner JIANGSU VOCATIONAL INST OF ARCHITECTURAL TECH
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
Eureka Blog
Learn More
PatSnap group products