Fault Tolerant Control Implementation for Inverter-Fed Induction Motors: A Real-Time Implementation
Bibliographic record
Abstract
This paper presents a study focused on the operation of a twelve-sector direct torque control (DTC) structure under both healthy and faulty conditions for an induction motor (IM).The fault-tolerant control (FTC) discussed herein pertains to a three-phase two-level inverter based on an open-circuit fault of an insulated gate bipolar transistor (IGBT).In this scenario, the gate signal of the transistor is manually forced to zero.The proposed control mechanism is capable of maintaining stability at a certain minimum performance level.Experimental results, derived from testing the IM under both healthy and faulty modes using a Dspace 1104 board, display the commendable performance of the proposed control.This improved DTC strategy, bolstered by twelve sectors, has resulted in minimizing torque ripples, flux, and stator current oscillations, as compared to conventional DTC.The principle provides a robust solution that effectively reduces vibrations and audible noise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".