Dynamic Modeling of Aerospace Systems (DyMAS)

Aerospace Standard
ARP6538
Issued

Published May 24, 2018 by SAE International in United States

Sector:

Aerospace

Issuing Committee:

AE-7M Aerospace Model Based Engineering

Language: English

Scope

The objective of this document is to provide a recommended practice for the development of aerospace EPS dynamic models so that models developed by different companies/industries/governments/etc. will have a basic level of compatibility and interconnectivity. This will be crucial as the aerospace industry looks to solve the challenges of the 21^st century through integrated vehicle optimization.

This document focuses on model interfaces and their interconnection. Other than these boundary characteristics, this document does not attempt to describe or regulate the inner workings of individual component models.

AIR6326 defines the four-level paradigm for aircraft EPS MSAT studies. Of the four levels, Device Physical, Behavioral, Functional, and Architectural, only the first three are dynamic models. Further, the Device Physical level is too detailed and not intended to be interconnected to other EPS models. Thus, only the middle two levels – Behavioral and Functional – will be covered by this document. Real-time models are a fast subset contained within these two levels, and these will be addressed here as well.

Functional models capture EPS component performance over an entire flight or long portions of the flight. These models might include behavior of ground preparations, startup/warm up, taxi, takeoff/climb, cruise, and descent, for example. These models require lower fidelity than behavioral ones, and are intended to address overall system-level considerations. Real-time models are a subset of functional models that are typically used in hardware-in-the-loop (HIL) studies to establish relevant boundary conditions for hardware under test. They are dynamic models that must be as fast as or faster than real time at every time step; practically, this restricts real-time models to the functional level, although future increases in computational speed may one day make it possible to create real-time-capable behavioral models.

Behavioral models capture EPS component performance within considerably shorter time periods than functional models. They are generally used to investigate short-term (i.e., microsecond scale) transient behavior. Thus, they must simulate physical phenomena at much higher bandwidth (i.e., higher frequencies) than functional models. Consequently, they require a high level of fidelity and run much more slowly than functional models.

Since every model development team has its own set of goals, processes, and legacy codes, it is perhaps inappropriate and certainly infeasible to impose hard requirements for all models. Thus, rather than define a rigid framework that must be followed, this document provides a structured set of guidelines that, if followed, lay a foundation for the successful interconnection and integration of numerous disparate models.

Rationale

This document provides guidelines and suggested best practices for dynamic modeling of aerospace systems. Because, ostensibly, there are as many modeling methods as there are members of the aerospace community, this ARP attempts to provide a framework for standardized modeling practices that will facilitate fast, efficient, and more effective integration of models from numerous sources. The document begins with general guidelines applicable to models spanning all aerospace domains, and then gives focused examples for component models of aerospace electric power systems (EPS). The EPS component model guidelines are given in general terms, and can be easily translated into guidelines for models of other systems (e.g., thermal management, aerodynamic, actuation).

Data Sets - Support Documents

Title	Description	Download
Table 1	Main ES/G signals and recommended units
Table 2	Exciter signals and recommended units
Table 3	ICC signals and recommended units
Table 4	ES/G controller model states
Table 5	ES/G controller signals and recommended units
Table 6	EDU signals and recommended units
Table 7	ESD signals and recommended units
Table 8	BCCU model control states
Table 9	BCCU signals and recommended units
Table 10	EAU model control states
Table 11	EAU signals and recommended units
Table 12	DC-DC voltage regulator signals and recommended units
Table 13	DC-AC inverter signals and recommended units
Table 14	PMG signals and recommended units
Table 15	AC-DC C/R signals and recommended units
Table 16	System loads signals and recommended units
Table 17	Sensors signals and recommended units

Reference

Number	Title

Aerospace Standard	Aircraft Electrical Power Systems Modeling and Simulation Definitions
Technical Paper	Design and Integration of DC Power System with Regulated Transformer Rectifiers

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Dynamic Modeling of Aerospace Systems (DyMAS)

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