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

The Method of Improving the Accuracy of Robot Parameter Identification

A parameter identification and robotics technology, applied in instruments, adaptive control, control/regulation systems, etc., can solve the problems of inaccurate identification, large measurement noise, low optimization efficiency, etc., to avoid the processing process, improve the identification accuracy, improve the The effect of optimizing efficiency

Active Publication Date: 2017-02-22
NANJING ESTUN ROBOTICS CO LTD
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The excitation trajectory selection and optimization steps in the existing robot parameter identification process are complex, the optimization efficiency is low, and the optimized excitation trajectory cannot meet the subsequent high-precision sampling requirements
In addition, the position information and torque information of each joint obtained through the direct measurement of the optimized excitation trajectory of the existing technology contains a lot of measurement noise, especially the noise of the torque value. If these measurement data are directly used for parameter identification, it will inevitably be due to The introduction of large noise leads to inaccurate identification, and even some parameters that affect dynamics cannot be identified, affecting the final dynamic model

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
  • The Method of Improving the Accuracy of Robot Parameter Identification
  • The Method of Improving the Accuracy of Robot Parameter Identification
  • The Method of Improving the Accuracy of Robot Parameter Identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0047] Now take a six-joint serial industrial robot as the parameter identification object, and take the parameter identification of 1, 2, and 3 joints as an example, and design five-item Fourier series excitation trajectories, that is, N=5, that is, each joint’s There are 11 optimized parameters in the excitation trajectory.

[0048] First, determine the excitation trajectory for robot parameter identification, which is a finite Fourier series:

[0049]

[0050] In the formula, q i,0 is the joint position compensation amount; ω fis the fundamental frequency of the track; N is the number of harmonic items of the Fourier series track; a i,k , b i,k is the coefficient. Therefore, each finite-term Fourier series contains 2N+1 coefficients, corresponding to q i,0 、a i,k , b i,k , to find these coefficients is to determine the excitation...

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 method for improving robot parameter identification accuracy and belongs to the field of industrial robot control. The method comprises optimizing stimulation trajectories through a genetic algorithm; stimulate a robot to perform cyclical movement according to the optimized stimulation trajectories; sampling actual joint positions and actual torque data during moving and processing the data to obtain torque values, joint positions, joint speeds and joint accelerated speeds which are high in signal to noise ratio; establishing a dynamic linear model, and identifying all parameters related to joint dynamics through a weighted least square method. By the aid of the method, the actual trajectory Fourier series form is fit through an inverse method, and accordingly, speeds and accelerated speeds which cannot be obtained directly in experiments can be obtained conveniently, noise signals in sampling position signals and torque signals can be eliminated through an equalization method, the signal to noise ratio is improved and the robot parameter identification accuracy is improved.

Description

technical field [0001] The invention relates to a method for improving the identification accuracy of robot parameters, which belongs to the field of industrial robot control. Background technique [0002] An industrial robot is a multi-joint manipulator or a multi-degree-of-freedom machine device for the industrial field. It can perform work automatically and is a machine that realizes various functions by its own power and control capabilities. It can be directed by a human, or it can run according to a pre-programmed program. At present, industrial robot technology is developing in the direction of high speed, high precision and intelligence, so higher requirements are put forward for the control precision of industrial robots. [0003] A key factor affecting the control accuracy of a robot is the accuracy of its dynamic model, and establishing an accurate dynamic model requires the dynamic parameters of each joint of the robot, but in general, the dynamic parameters can...

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 Patents(China)
IPC IPC(8): G05B13/04
Inventor 潘婷婷王杰高韩邦海
Owner NANJING ESTUN ROBOTICS CO LTD
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