Abstract
Friction drag primarily determines the total drag of transport systems. A promising approach to reduce drag at high Reynolds numbers (> 104) are active transversal surface waves in combination with passive methods like a riblet surface. For the application in transportation systems with large surfaces such as airplanes, ships or trains, a large scale distributed real-time actuator and sensor network is required. This network is responsible for providing connections between a global flow control and distributed actuators and sensors. For the development of this network we established at first a small scale network model based on Simulink and TrueTime. To determine timescales for network events on different package sizes we set up a Raspberry Pi based testbed as a physical representation of our first model. These timescales are reduced to time differences between the deterministic network events to verify the behavior of our model. Experimental results were improved by synchronizing the testbed with sufficient precision. With this approach we assure a link between the large scale model and the later constructed microcontroller based real-time actuator and sensor network for distributed active turbulent flow control.
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This work was supported by German Research Foundation (DFG) (No. 1779-WA3076/1-1).
Marcel DUECK received the B.Sc. in Scientific Programming from Aachen University of Applied Sciences, Aachen, Germany, and a degree as mathematical technical software developer (MaTSE) from the Chamber of Commerce (IHK, Aachen) in 2010. In 2012, he received the M.Sc. in Technomathematics “Integration of mobile iOS devices in instrumentation applications” from Aachen University of Applied Sciences, Aachen, Germany. He is a Ph.D. candidate at the RWTH Aachen University, Aachen, Germany, and working as Research Associate in the Central Institute of Engineering, Electronics and Analytics, Systems of Electronics, Forschungszentrum J ülich, Germany. His research interest covers distributed large scale real-time actuator and sensor networks and iterative learning control algorithms.
Mario SCHLOESSER received the Diploma in Electrical and Computer Engineering from Aachen University of Applied Sciences, Aachen, Germany, in 2006. He has sevenyears of R&D experience as Development Engineer in the Central Institute of Engineering, Electronics and Analytics, Systems of Electronics, Forschungszentrum Jülich, Germany. Since 2014, he is appointed as Head of the Digital Hardware Systems Department. His current research interests include the miniaturization of distributed sensor and actuator networks, high speed communication protocols and embedded DAQ systems.
Stefan van WAASEN received his Diplomaas well as Doctor’s degree in Electrical Engineering from Duisburg University, Germanyin 1994 and 1999, respectively. He has 13years experience in industrial development of semiconductor based wireless and wireline communication products. Since 2010, he is Director of the Central Institute of Engineering, Electronic and Analytics: ElectronicSystems at Forschungszentrum Jülich. Since 2014, he is also Professor for Measurement and Sensor Systems at University of Duisburg-Essen at the Faculty of Engineering. His current reasearch interests are complex detector systems and high integration strategies.
Michael SCHIEK received the Diploma degreein Physics in 1994 and the Ph.D. degree in 1998 both from the RWTH Aachen University, Aachen, Germany. Since 1998, hehas been Scientific Assistant at the Research Centre Jülich, Central Institute ZEA-2 Electronic Systems, Germany, where he is heading of the team “Modelling and Algorithms”.His current research interests include nonlinear time series analysis and distributed sensor-actuator networks.
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Dueck, M., Schloesser, M., van Waasen, S. et al. Ethernet based time synchronization for Raspberry Pi network improving network model verification for distributed active turbulent flow control. Control Theory Technol. 13, 204–210 (2015). https://doi.org/10.1007/s11768-015-4143-1
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DOI: https://doi.org/10.1007/s11768-015-4143-1