2008 10th IEEE International Workshop on Advanced Motion Control 2008
DOI: 10.1109/amc.2008.4516068
|View full text |Cite
|
Sign up to set email alerts
|

Quadrant glitch compensation using friction model-based feedforward and an inverse-model-based disturbance observer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
28
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
6
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 46 publications
(28 citation statements)
references
References 10 publications
0
28
0
Order By: Relevance
“…Analysis of friction compensation. The performance of the controllers in compensating nonlinear frictional forces is validated based on reduction in magnitude of the quadrant glitches [6]. The performance of the SMC controller is compared to the classical controller.…”
Section: Resultsmentioning
confidence: 99%
“…Analysis of friction compensation. The performance of the controllers in compensating nonlinear frictional forces is validated based on reduction in magnitude of the quadrant glitches [6]. The performance of the SMC controller is compared to the classical controller.…”
Section: Resultsmentioning
confidence: 99%
“…There are also methods using compensation with regard to friction behavior in the small displacement region, based on a brush model of friction caused by elastic deformation [15], a rolling friction model for rolling elements in linear guides [16,17], a generalized Maxwell model representing dynamic behavior of viscoelastic bodies [18], and others. However, most of these methods use complex models, or estimate compensation performance under simple conditions such as step response or reciprocating motion.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, an efficient and reliable compensation technique is desired in order to improve the tracking performance in machine tools applications. Previous researches on several compensation methods and approaches are discovered and have shown promising results; for example, Inverse Model Based Disturbance Observer [6], classical cascade controller [7] and Repetitive Controller [8,9], and based on the familiar PID control. Result based on PID controller [5] shows that the tracking error can be trim down until millimeter point only whereas results based on [8,9] show that the tracking error is reduced up to micron meter level via direct drive xy table.…”
Section: Introductionmentioning
confidence: 99%