A novel DTFC based IPMSM drive with improved efficiency and dynamic performance
Bibliographic record
Abstract
This paper presents a novel direct torque and flux control (DTFC) scheme of interior permanent magnet synchronous motor (IPMSM) drive. The conventional six-sector based DTFC scheme is modified with the proposed eighteen-sector based DTFC scheme in order to reduce the torque/flux ripple of the drive. Furthermore, the motor efficiency is optimized by reference flux estimation through an online loss minimization algorithm (LMA) so that the motor operates at minimum loss condition, which is not possible for conventional control where the reference flux remains constant. The complete drive is simulated using MATLAB/Simulink software and then a prototype is implemented using digital signal processor (DSP) board DS1104 for a laboratory 5-hp motor. Performance of the proposed DTFC scheme is investigated extensively at different operating conditions in both simulation and experiment. It is found from results that the proposed eighteen-sector based DTFC scheme incorporating LMA achieves the lowest possible torque ripples in steady state while maintaining high efficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".