2011
DOI: 10.3182/20110828-6-it-1002.00019
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive observer-based switched control for electropneumatic clutch actuator with position sensor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 13 publications
0
5
0
Order By: Relevance
“…Using the tuning method presented above, the matrices G and Θ of the observer of Eqn. (22) and the parameters of the sliding mode strategy are the following 4 Note that the observer gains must ensure that the observation errors converge to zero fast enough for the state estimation to become reliable and to be used by the controller. The experimental results are shown in Fig.…”
Section: High-gain Observer Experimental Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Using the tuning method presented above, the matrices G and Θ of the observer of Eqn. (22) and the parameters of the sliding mode strategy are the following 4 Note that the observer gains must ensure that the observation errors converge to zero fast enough for the state estimation to become reliable and to be used by the controller. The experimental results are shown in Fig.…”
Section: High-gain Observer Experimental Resultsmentioning
confidence: 99%
“…In [21], the authors consider the design of a switched observer for an electro-pneumatic clutch actuator with a position sensor. This observer is used in [22] to obtain a dual mode switched controller for the clutch actuator position.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Flowchart for AMT Clutch prognostics algorithm. Langjord, Kaasa, and Johansen (2011). proposed an adaptive nonlinear observer for an electro-pneumatic clutch actuator which estimates piston velocity, chamber pressures and dynamic friction based on piston position measurement only.…”
Section: Prognostic Algorithmmentioning
confidence: 99%