Sliding-mode observation with iterative parameter adaption for fast-switching solenoid valves
- Control of the armature motion of fast-switching solenoid valves is highly desired to reduce noise emission and wear of material. For feedback control, information of the current position and velocity of the armature are necessary. In mass production applications, however, position sensors are unavailable due to cost and fabrication reasons. Thus, position estimation by measuring merely electrical quantities is a key enabler for advanced control, and, hence, for efficient and robust operation of digital valves in advanced hydraulic applications. The work presented here addresses the problem of state estimation, i.e., position and velocity of the armature, by sole use of electrical measurements. The considered devices typically exhibit nonlinear and very fast dynamics, which makes observer design a challenging task. In view of the presence of parameter uncertainty and possible modeling inaccuracy, the robustness properties of sliding mode observation techniques are deployed here. The focus is on error convergence in the presence of several sources for modeling uncertainty and inaccuracy. Furthermore, the cyclic operation of switching solenoids is exploited to iteratively correct a critical parameter by taking into account the norm of the observation error of past switching cycles of the process. A thorough discussion on real-world experimental results highlights the usefulness of the proposed state observation approach.
Author: | Tristan BraunORCiD, Johannes ReuterORCiD |
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ISBN: | 978-3-319-31537-9 |
Parent Title (English): | Variable-structure approaches : analysis, simulation, robust control and estimation of uncertain dynamic processes |
Publisher: | Springer |
Place of publication: | Cham |
Document Type: | Part of a Book |
Language: | English |
Year of Publication: | 2016 |
Identifier: | Im Katalog der Hochschule Konstanz ansehen |
Release Date: | 2019/05/16 |
First Page: | 189 |
Last Page: | 212 |
Note: | Volltextzugriff für Angehörige der Hochschule Konstanz möglich. |
Open Access?: | Nein |
Licence (German): | Urheberrechtlich geschützt |