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Record W1933639015 · doi:10.1109/ias.1993.298871

Control of a direct-drive DC motor by fuzzy logic

2002· article· en· W1933639015 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
FieldComputer Science
TopicFuzzy Logic and Control Systems
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFuzzy logicMicrocontrollerRobustness (evolution)DC motorControl theory (sociology)Computer scienceFuzzy electronicsFuzzy control systemControl engineeringController (irrigation)ServomotorNeuro-fuzzyComputer hardwareEngineeringArtificial intelligenceControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

The application of fuzzy logic theory to control a direct-drive DC motor in a robot arm is studied. The design of a fuzzy logic controller for position control of a single-link robot arm is presented. Simulation results show that the response of the fuzzy controller is very good, and it remains the same when the load mass changes in a wide range. The designed fuzzy controller has been implemented on an 8-bit microcontroller (68HC11) to evaluate the obtainable performance with a low-cost processor. Even with a relatively low sampling rate (66 Hz) due to the limited execution speed of the microcontroller, the fuzzy logic controller performs well in a wide range of operating conditions. Good experimental results were obtained, illustrating the high robustness of the controller to the load mass change.< <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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.382

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 science0.0010.000
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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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

Citations14
Published2002
Admission routes1
Has abstractyes

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