Contouring accuracy improvement using a tangential contouring controller with a fuzzy logic-based feedrate regulator

Ming-Yang Cheng, Ke Han Su

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In contour-following tasks, contour error reduction is an issue of much concern. Generally speaking, contour error is caused by the mismatched dynamics between each axis. To reduce the contour error, many previous studies have focused on developing proper controllers and/or more accurate contour error estimation algorithms. An alternative method for reducing contour errors is to exploit the idea of desired feedrate adjustment. This paper proposes using the approximate contour error information to develop a fuzzy logic-based feedrate regulator, which adjusts the value of the desired feedrate. Moreover, to further reduce contour error, an integrated motion control scheme is also developed. This scheme consists of a position loop controller with velocity command feedforward, a tangential contouring controller (TCC), a real-time contour error estimator, and the proposed fuzzy logic-based feedrate regulator. Several experiments on free-form contour-following tasks are conducted to evaluate the performance of the proposed approach. The experimental results clearly demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)75-85
Number of pages11
JournalInternational Journal of Advanced Manufacturing Technology
Volume41
Issue number1-2
DOIs
Publication statusPublished - 2009 Mar 1

Fingerprint

Fuzzy logic
Controllers
Integrated control
Motion control
Error analysis
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

@article{04b981cf2a1e4403a133408cdb216976,
title = "Contouring accuracy improvement using a tangential contouring controller with a fuzzy logic-based feedrate regulator",
abstract = "In contour-following tasks, contour error reduction is an issue of much concern. Generally speaking, contour error is caused by the mismatched dynamics between each axis. To reduce the contour error, many previous studies have focused on developing proper controllers and/or more accurate contour error estimation algorithms. An alternative method for reducing contour errors is to exploit the idea of desired feedrate adjustment. This paper proposes using the approximate contour error information to develop a fuzzy logic-based feedrate regulator, which adjusts the value of the desired feedrate. Moreover, to further reduce contour error, an integrated motion control scheme is also developed. This scheme consists of a position loop controller with velocity command feedforward, a tangential contouring controller (TCC), a real-time contour error estimator, and the proposed fuzzy logic-based feedrate regulator. Several experiments on free-form contour-following tasks are conducted to evaluate the performance of the proposed approach. The experimental results clearly demonstrate the effectiveness of the proposed approach.",
author = "Ming-Yang Cheng and Su, {Ke Han}",
year = "2009",
month = "3",
day = "1",
doi = "10.1007/s00170-008-1463-z",
language = "English",
volume = "41",
pages = "75--85",
journal = "International Journal of Advanced Manufacturing Technology",
issn = "0268-3768",
publisher = "Springer London",
number = "1-2",

}

TY - JOUR

T1 - Contouring accuracy improvement using a tangential contouring controller with a fuzzy logic-based feedrate regulator

AU - Cheng, Ming-Yang

AU - Su, Ke Han

PY - 2009/3/1

Y1 - 2009/3/1

N2 - In contour-following tasks, contour error reduction is an issue of much concern. Generally speaking, contour error is caused by the mismatched dynamics between each axis. To reduce the contour error, many previous studies have focused on developing proper controllers and/or more accurate contour error estimation algorithms. An alternative method for reducing contour errors is to exploit the idea of desired feedrate adjustment. This paper proposes using the approximate contour error information to develop a fuzzy logic-based feedrate regulator, which adjusts the value of the desired feedrate. Moreover, to further reduce contour error, an integrated motion control scheme is also developed. This scheme consists of a position loop controller with velocity command feedforward, a tangential contouring controller (TCC), a real-time contour error estimator, and the proposed fuzzy logic-based feedrate regulator. Several experiments on free-form contour-following tasks are conducted to evaluate the performance of the proposed approach. The experimental results clearly demonstrate the effectiveness of the proposed approach.

AB - In contour-following tasks, contour error reduction is an issue of much concern. Generally speaking, contour error is caused by the mismatched dynamics between each axis. To reduce the contour error, many previous studies have focused on developing proper controllers and/or more accurate contour error estimation algorithms. An alternative method for reducing contour errors is to exploit the idea of desired feedrate adjustment. This paper proposes using the approximate contour error information to develop a fuzzy logic-based feedrate regulator, which adjusts the value of the desired feedrate. Moreover, to further reduce contour error, an integrated motion control scheme is also developed. This scheme consists of a position loop controller with velocity command feedforward, a tangential contouring controller (TCC), a real-time contour error estimator, and the proposed fuzzy logic-based feedrate regulator. Several experiments on free-form contour-following tasks are conducted to evaluate the performance of the proposed approach. The experimental results clearly demonstrate the effectiveness of the proposed approach.

UR - http://www.scopus.com/inward/record.url?scp=60949112249&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=60949112249&partnerID=8YFLogxK

U2 - 10.1007/s00170-008-1463-z

DO - 10.1007/s00170-008-1463-z

M3 - Article

AN - SCOPUS:60949112249

VL - 41

SP - 75

EP - 85

JO - International Journal of Advanced Manufacturing Technology

JF - International Journal of Advanced Manufacturing Technology

SN - 0268-3768

IS - 1-2

ER -