| 摘要: |
| 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. |
| 关键词: Raspberry Pi, TrueTime, distributed actuator and sensor network, network model |
| DOI： |
| Received:October 23, 2014Revised:April 20, 2015 |
| 基金项目: |
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| Ethernet based time synchronization for Raspberry Pi network improving network model verification for distributed active turbulent flow control |
| M. Dueck,M. Schloesser,S. van Waasen,M. Schiek |
| (Central Institute of Engineering, Electronics and Analytics ZEA-2: Electronic Systems, Forschungszentrum Juelich GmbH) |
| 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. |
| Key words: Raspberry Pi, TrueTime, distributed actuator and sensor network, network model |
