Wide-area overlay networking to manage science DMZ accelerated flows

Wide-area overlay networking to manage science DMZ accelerated flows

HARDWARE-IN-THE-LOOP simulation HILS is a tool that combines the high fidelity of physical prototyping with the cost effectiveness of model-based simulation It strongly promotes concurrent system engineering and has therefore become indispensable in many application areas, such as automotive aerospace manufacturing Wide-area overlay networking to manage science DMZ accelerated flows robotics and defense To fully exploit the benefits of HILS, it may be desirable to integrate multiple HILS setups Recent efforts have focused on achieving this integration over the Internet to allow for integration of setups that the current on the transformer primary and secondary, respectively.

A bigger ringing spike occurs in the dead time zero-voltage length if the duty cycle is not for the noninterleaving arrangement due to the fact that the energy stored in the leakage inductance oscillates with the other parasitic elements in the circuit. The improved arrangement has the best high-frequency property in the ringing problem, which can bring low switching losses and low EMI problem. The are geographically dispersed and unfeasible to couple physically An important concept with Internet-distributed HILS IDHILS is transparency a measure of how close the dynamics of the distributed system are to those of the directly coupled system, a measure of fidelity.

Wide-area overlay networking to manage science DMZ accelerated flow

Wide-area overlay networking to manage science DMZ accelerated flows A high transparency indicates that the dynamics do not change significantly when the system is distributed over the Internet, and is therefore desired. The transparency metrics proposed in the literature are reviewed in detail in Section and are useful for linear deterministic systems. However, systems will, in general, be nonlinear and stochastic, as will be illustrated by the sample system considered in this work. Therefore, the first goal of this paper is to develop a time-domain statistical analysis of transparency that will enable the handling of nonlinear stochastic systems. Using this analysis, the second goal of this paper is to experimentally compare the relative impact of two sources of degradation in transparency. The first one is the Internet’s quality of service QoS., the intrinsic delay, jitter, and loss associated with the Internet. Much of the delay is related to routing and processing in the network. Jittermeans that the delay is variable, and loss occurs because not every packet sent through the Internet necessarily arrives at its destination. The adverse effects of delay on stability and transparency of dynamic systems are well known and present challenges that are still subject to research, in the field of teleoperation. Wide-area overlay networking to manage science DMZ accelerated flows Thus, maintaining stability and transparency despite delay, jitter, and loss is amajor challenge in using the Internet to couple HILS setups. The second source of degradation in transparency that is considered in this paper is distributed real-time simulation.

In general, the distributed sites will employ models that need to be co-simulated in real time. This is typically done by communicating the variables at the coupling points over the Internet. Such a communication will inevitably introduce sampling effects, which will degrade transparency. In addition, it will not be possible to ensure the accuracy theoretically established for the numerical integration scheme employed on a given site without having access to all the states and state derivatives of the othe sites. Wide-area overlay networking to manage science DMZ accelerated flows Therefore, such an integration of the models will cause a degradation of simulation accuracy, and may reduce transparency. Since this point, compared to time delay issues, has received less attention in the literature, it may be less obvious, and hence, will be illustrated on a simple example in Section. This second goal is important to identify the major cause of transparency degradation