Execution Time Oriented Design of an Adaptive Controller for Mobile Machines

Marius Kruger, Birgit Vogel-Heuser, Dominik Hujo, Christoph Huber, Johannes Schwarz, Boris Lohmann, Fabian Kreutmayr, Markus Imlauer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Mobile and stationary mechatronic systems are often driven by hydraulic actuators which are controlled using valves. Hydraulic systems have a high power density, are robust and cost-effective in the application and can work reliably under rough environmental conditions. For many years, PID controllers build the state-of-the-technology for valve control. Although PID controllers are easy to synthesize and can be executed on low-performing devices, the demand for more adaptive control approaches to deal with non-linearities in hydraulic circuits is increasing. Adaptive controllers tend to be more computationally expensive than PID controllers, so the capability of common hardware devices to execute the algorithms in real-time must also be considered. This paper contributes a feasibility study examining whether adaptive control approaches can be used for valve control in hydraulic-driven mobile machines. Thus, a literature review on adaptive valve control approaches is conducted and a model-based linear adaptive control approach consisting of system identification and control logic execution is extracted. The adaptive controller is applied to a hydraulic testbed and the controller performance is measured in dependence on the cycle time of the controllers to estimate the worst-case execution time. It is investigated whether common control units in mobile machines can reach the execution times and how many valves can be controlled by one control unit in terms of the execution time.

OriginalspracheEnglisch
Titel2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023
Redakteure/-innenHelene Dorksen, Stefano Scanzio, Jurgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665493130
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung21st IEEE International Conference on Industrial Informatics, INDIN 2023 - Lemgo, Deutschland
Dauer: 17 Juli 202320 Juli 2023

Publikationsreihe

NameIEEE International Conference on Industrial Informatics (INDIN)
Band2023-July
ISSN (Print)1935-4576

Konferenz

Konferenz21st IEEE International Conference on Industrial Informatics, INDIN 2023
Land/GebietDeutschland
OrtLemgo
Zeitraum17/07/2320/07/23

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