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Record W1577041912 · doi:10.1109/ias.1990.152342

Optimal trajectory control strategy for improved dynamic response of series resonant converter

2002· article· en· W1577041912 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsTrajectoryControl theory (sociology)Power (physics)Series (stratigraphy)Computer scienceRepresentation (politics)Phase planePhase (matter)State (computer science)Stability (learning theory)VoltageControl (management)EngineeringPhysicsElectrical engineeringLawAlgorithm

Abstract

fetched live from OpenAlex

A control strategy that improves the dynamic response of a series resonant power converter (SRC) operating above the resonant frequency and using zero voltage turn-on switches (ZVS) is discussed. The advantages of the optimal trajectory control over the existing methods are reduced stresses on the reactive and power semiconductor switching elements of the circuit and faster responses in cases of large variations of circuit operating conditions without affecting the global stability of the system. The method is based upon the graphical representation of state variables in the phase plane. The trajectory of switching points is imposed on the phase plane by the control law. This control strategy is consequently realized by controlling a quantity of energy in the resonant circuit. The simulation results in the dynamic state are analyzed under various operating conditions and experimentally verified using an SRC prototype.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.666

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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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

Quick stats

Citations13
Published2002
Admission routes1
Has abstractyes

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