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Distributed Combined Discrete-Continuous Simulation for Multiple MAVs Motion Analysis

机译:多个MAV运动分析的分布式组合离散连续连续仿真

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摘要

The complex and highly interdependent nature of the behavior of multiple micro-air vehicles (MAV) makes it difficult to be simulated. To achieve accuracy and high fidelity, continuous-time simulation (CTS) models are often used in simulating the behavior of MAVs. As the number of MAVs to be simulated increase, the performance CTS suffers drastically from the computation. Combined discrete-continuous simulation, which integrates CTS with discrete-event simulation (DES) can obtain better performance, and at the same time maintain accuracy. SPEEDES provides an excellent platform to distribute this multiple-MAV simulation across networks of workstations. This paper describes approaches to build such distributed discrete-continuous simulations on a SPEEDES framework and presents some preliminary results.
机译:多个微型航空器(MAV)行为的复杂性和高度相互依存的性质使得很难进行模拟。为了获得准确性和高保真度,经常使用连续时间仿真(CTS)模型来仿真MAV的行为。随着要模拟的MAV数量的增加,CTS的性能将严重受计算困扰。将CTS与离散事件仿真(DES)集成在一起的组合离散连续仿真可以获取更好的性能,同时保持精度。 SPEEDES提供了一个出色的平台,可以在工作站网络之间分发这种多MAV仿真。本文介绍了在SPEEDES框架上构建这种分布式离散连续仿真的方法,并提出了一些初步结果。

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