Self-learning and self-optimizing control of valves and valve systems for hydraulic machines and aggregates

Project Description

Numerous mobile as well as stationary machines are operated with hydraulic actuators, which are controlled by several hydraulic valves. For optimum regulation and control of individual valves or entire valve systems, numerous parameters must be set, sometimes even during operation. Currently, this is mostly done manually by the customer or the valve manufacturer, which often leads to poorly adjusted overall systems. Within the scope of AIValve, new approaches to self-adjusting, self-learning adjustment of the open-loop/closed-loop control of valves and valve systems for mobile machines are to be developed in order to allow largely automatic commissioning for universal applications. Via a teleservice interface, parameter adaptation should be initiated and monitored even after delivery. In the long term, optimization during operation is the goal. New business models are to be developed as prototypes.



Funded by Bayerische Staatsministerium für Wirtschaft und Medien, Energie und Technologie, supported by VDI/VDE/IT within the research program „Informations- und Kommunikationstechnik“