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Record W2328067331 · doi:10.2514/6.2007-4716

Real-Time Hardware in the Loop Simulation of Aerospace Power Systems

2007· article· en· W2328067331 on OpenAlexaff
Julio Pimentel, Yosef Tirat-Gefen

Bibliographic record

Venue5th International Energy Conversion Engineering Conference and Exhibit (IECEC) · 2007
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsUniversité Laval
FundersXilinx
KeywordsAerospaceHardware-in-the-loop simulationComputer scienceLoop (graph theory)Power (physics)Field-programmable gate arrayEmbedded systemEngineeringAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

(Abstract) This paper presents new results obtained with a real-time simulator for aerospace power systems capable of hardware in the loop simulation. This means that the model under test runs in real-time in the simulator and it can drive and receive signals from a real system through its analog and digital interfaces. The simulator uses low cost reconfigurable computing infrastructure (e.g. embedded processors and FPGAs) and it is capable of having simulation steps on the order of 0.4 microseconds, that is suitable to represent typical modern aerospace power systems. As an example, we realize the simulation of a sequential switching shunt series regulator (S4R) system using Matlab/Simulink and compare it to the results produced by the FPGA based simulator.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.221
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2007
Admission routes1
Has abstractyes

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