Institute for

Development of advanced techniques for the control and
diagnostics of pumps

Pumps are used in a wide range of industrial applications and account for a considerable amount of energy consumption. It has been proposed that even small alterations in the mode of operation can result in significant energy savings. For example, an optimized control of pump performance can reduce energy consumption of up to 20% of electrical power which is also of high economic value. Energy efficiency is highly dependent on the overall efficiency of a pump which in turn requires a precise control of pump performance. Simulations of pumping systems are still challenging. However, due to increased computer performance simulations of pumping systems are now feasible and provide the basis for numerous optimization approaches.


The goal of the Interreg IV project is to directly use the pump as a sensor ensuring proper function during operation without the need to integrate additional technical components. The feedback control of the pump should allow for real-time monitoring and therefore represents a diagnostic system.


This project partners include the University of Applied Sciences Ravensburg-Weingarten in Germany (, the University of Applied Sciences Rapperswil in Switzerland ( and the german companies Allweiler AG ( and Weishaupt (



Based on a detailed analysis of the pumping system a suitable mathematical model will be generated that describes the behaviour of the system. Priority is given on the applicability of the model to be used for a broad range of pumping systems and for rapid calculation rather than on high accuracy. The mathematical model will provide a basis for the subsequent simulation of an existing pumping system using Matlab/Simulink.

During later project phases this simulation will be used to evaluate future system development. Measurement parameters that either already exist or have to be integrated into the system will be defined that allow for an advanced control, failure recognition and diagnostics. Concepts will be designed for signal acquisition and signal processing to gain a survey on sensors suitable for this approach. The simulation model will be verified by experimental studies on an existing pumping system.

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Project partners