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Record W2159154522 · doi:10.1109/ias.1995.530643

An adaptive digital control of current source inverter suitable for parallel processing inverter systems

2002· article· en· W2159154522 on OpenAlexaff
Armen Baronian, S.B. Dewan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceTotal harmonic distortionControl theory (sociology)Controller (irrigation)InductorInverterElectronic engineeringWaveformDigital controlTransient (computer programming)HarmonicPower (physics)VoltageEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents a description, steady state analysis, modeling and digital control design of a single-phase CSI power supply system in stand-alone mode. The multi-functional features associated with modern parallel processing inverter systems can be realized with the proposed bidirectional power conversion scheme. A detailed power circuit and controller description of the proposed power supply system are given. The steady-state analysis of the system is performed. Continuous-time state-space model of the system and discrete-time and DARMA models of a single-phase CSI are derived. An adaptive discrete-time controller for CSI is designed in order to obtain fast transient response and low total harmonic distortion of the output voltage waveform. An adaptive controller for DC choppers is designed in order to reduce the DC link inductor and optimize its dynamic performance. DC link and output filter design is performed and a systematic design procedure with a design example are presented. A number of simulations are presented to illustrate the performance of the system.

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 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: none
Teacher disagreement score0.996
Threshold uncertainty score0.874

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 communication0.0000.001
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 head0.024
GPT teacher head0.225
Teacher spread0.201 · 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 teacher head, 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

Citations16
Published2002
Admission routes1
Has abstractyes

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