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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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