Title | ||
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Virtual strain gauge based on a fuzzy discrete angular domain observer: Application to engine and clutch torque estimation issues. |
Abstract | ||
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In many real time applications, information of transmitted torque is a mandatory input of the embedded control strategies. In the most of cases, the use of a physical torque sensor (strain gauge) is compromised by cost and bulk reasons and the torque is not measured. Unfortunately, the need of an embedded torque measurement is a general real time application problem and can only be solved through an accurate embeddable estimation method. This issue is especially common in automotive industry concerning the powertrain management for example. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.fss.2018.02.016 | Fuzzy Sets and Systems |
Field | DocType | Volume |
Powertrain,Clutch,Torque,Torque sensor,Control theory,Artificial intelligence,Encoder,Strain gauge,Observer (quantum physics),Mathematics,Machine learning,Estimator | Journal | 343 |
ISSN | Citations | PageRank |
0165-0114 | 0 | 0.34 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Remi Losero | 1 | 0 | 0.68 |
J. Lauber | 2 | 275 | 22.74 |
T. M. Guerra | 3 | 490 | 58.39 |