Supercharge Your Innovation With Domain-Expert AI Agents!

Adaptive non-smooth trajectory tracking control method for industrial robot

A technology of industrial robot and control method, applied in the direction of adaptive control, general control system, control/adjustment system, etc., can solve problems in engineering application, limited performance, performance deterioration, etc., and achieve good trajectory tracking dynamic and static quality , Improve the robustness and control accuracy, improve the effect of rapidity and anti-disturbance ability

Inactive Publication Date: 2018-12-04
FUJIAN UNIV OF TECH
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are mainly the following methods in the high-quality trajectory tracking control of industrial robots: one is to use the traditional adaptive control method to design the controller, but this type of method can eliminate the influence of parameter uncertainty, but the trajectory tracking error converges The performance of the suppression of speed and external disturbance is limited; the second is to use the sliding mode variable structure control method to design the sliding mode controller, which can make the system state invariant to parameter perturbation and external disturbance on the sliding mode surface, and It has the advantages of no need for system online identification parameters, simple physical realization, etc.
However, there are chattering problems in practical applications, so there are great difficulties in engineering applications
The third is the traditional non-smooth control. Since the non-smooth controller has a fractional power term, the closed-loop control system has better robustness, dynamic performance and anti-disturbance performance than the smooth closed-loop control system, but the system has different parameters. deterministic and external disturbances, its performance will deteriorate

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
  • Adaptive non-smooth trajectory tracking control method for industrial robot
  • Adaptive non-smooth trajectory tracking control method for industrial robot
  • Adaptive non-smooth trajectory tracking control method for industrial robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 1 Schematic diagram of the designed controller structure.

[0028] Industrial Robot Dynamics. When considering the deviation of industrial robot parameters, its dynamic equation can be rewritten as:

[0029]

[0030] in: are the joint position, velocity and acceleration vectors respectively, where: Φ is the regression matrix of the dynamic model Abbreviation for; M o (q), G o (q) are the inertia matrix, Coriolis force and centripetal force matrix and gravity vector under the nominal parameters respectively; Φp u Represents model bias due to parameter mismatch: p u is the parameter mismatch part.

[0031] remember The kinetic equation can be further rewritten as:

[0032]

[0033]

[0034] in: for the desired trajectory.

[0035] The controller designed in the present invention can be divided into a non-smooth control part and an adaptive control part. That is, the controller output can be transformed into:

[0036]

[0037] in: ...

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 control method with an adaptive ability to achieve high industrial robot trajectory tracking quality. Non-smooth control and adaptive control are combined, the system designsan adaptive non-smooth trajectory tracking control controller structure, non-smooth and adaptive control parts are organically combined, and the trajectory tracking control quality of the industrial robot is thus improved. The method has an online adaptive ability towards parameter uncertainty, and has a stronger suppression ability towards uncertain parts of models such as external disturbance.

Description

technical field [0001] The invention relates to the technical field of robot control, in particular to an adaptive non-smooth trajectory tracking control method for an industrial robot. Background technique [0002] Due to the parameter uncertainty and external disturbance of industrial robots, the convergence speed of the trajectory tracking error will be slowed down, and the convergence error will increase at the same time. Therefore, in order to achieve high-quality trajectory tracking control of industrial robots, the controller needs to perform online compensation for the influence of parameter uncertainty. At the same time, the controller should have adaptive compensation for external disturbances and strong suppression capabilities. [0003] At present, there are mainly the following methods in the high-quality trajectory tracking control of industrial robots: one is to use the traditional adaptive control method to design the controller, but this type of method can e...

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): G05B13/04
CPCG05B13/042
Inventor 何栋炜高培刘丽桑廖律超郑积仕陈兴武黄靖
Owner FUJIAN UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More