Machine learning in hydraulics for higher productivity in agricultural and forestry machines

VIPR is an intelligent valve unit that combines four proportional seated valves arranged in a so-called "independent metering" setup. Integrated pressure sensors and a powerful electronic control system make it possible to monitor, evaluate and individually control all channels leading to a working function. This seated valve technology eliminates the need for additional load-holding valves or shut-off valves that negatively affect the energy efficiency of the hydraulic system without sacrificing safety. The special feature of the valve unit is its software-based, great flexibility:

• Whether pressure or flow rate control – the decision lies solely in the control system and does not require any changes to the hardware.
• Operating modes such as floating position or regeneration can be implemented via software, without additional valves or control blocks.
• By shifting complexity from hardware to software, a universal "one valve for everything" principle is created.

Thanks to the on-board sensor technology and self-learning algorithms, VIPR learns from the data generated during use. This significantly shortens the commissioning process. After a few test runs, the system adapts optimally to the specific requirements. The combination of neural networks and classic control approaches ensures a robust and reliable control system that adapts flexibly to the respective working conditions.

HAWE Hydraulik will be presenting the valve unit VIPR at Agritechnica in Hanover from November 9 to 15, 2025, at booth 16C11.