Distributed real-time simulation method based on reflective memory network

Abstract

A distributed real-time simulation method based on a reflective memory network is characterized in that the system is composed of model compiling and control equipment, real-time simulation equipment and reflective memory network equipment, optical fibers are used for connection, and the specific implementation method comprises the steps of system establishing and simulation. The distributed real-time simulation method based on the reflective memory network is mainly applied to digital simulation tests, and solves the problem that the performance of a traditional real-time simulation system can not meet the demand due to the fact that a digital simulation model is too big. The distributed real-time simulation method based on the reflective memory network has the advantages that due to the fact that a VMIC5565 real-time network card is used for establishing a real-time network, meanwhile, all nodes operate through a real-time simulator, and the real-time performance of data operation and transmission in the whole simulation process is guaranteed; part of nodes are combined in a loose coupling mode, it can be guaranteed that entire simulation operation can not be influenced by damage to non-key nodes, meanwhile, a physical device can be used for replacing simulation nodes, and a semi-physical simulation test is achieved. According to the distributed real-time simulation method based on the reflective memory network, the structure is simple, implementation is convenient, the universality is high, the application range is wide, and the prospect on digital simulation test application is wide.

Description

technical field [0001] The invention belongs to the technical field of simulation experiments, and in particular relates to a distributed real-time simulation method based on a reflective memory network. Background technique [0002] With the development of simulation technology, the fidelity of simulation models has been greatly improved through the improvement of modeling methods and cognition. At the same time, due to the increase in complexity of the simulation model, its scale is also becoming larger and larger. The traditional upper and lower computer real-time simulation system can no longer meet the needs of model compilation and simulation real-time operation, which puts higher demands on the system configuration. Require. In order to solve this problem, there have been attempts to simplify the model according to the task, but this will greatly increase the number of models, not only cannot solve the problem fundamentally, but also greatly increase the workload. ...

AI Technical Summary

Problems solved by technology

At the same time, due to the increase in complexity of the simulation model, its scale is also becoming larger and larger. The traditional upper and lower computer real-time simulation system can no longer meet the needs of model compilation and simulation real-time operation, which puts higher demands on the system configuration. Require

In order to solve this problem, I have tried to simplify the model according to the task, but this will greatly increase the number of models, not only cannot fundamentally solve the problem, but also greatly increase the workload

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