FLC Based DTC Scheme to Improve the Dynamic Performance of an IM Drive
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Bibliographic record
Abstract
This paper presents a fuzzy logic controller (FLC) based direct torque control (DTC) scheme for speed control of IM drive over a wide speed range. The FLC is used to adjust the bandwidth of torque hysteresis controller in order to reduce the torque ripple of developed torque and hence to improve motor dynamic response. The effects of torque hysteresis band amplitude on the torque ripple of IM are also discussed in the paper. The FLC is designed to select the optimum amplitudes of the three level torque hysteresis controller based on the variation in motor speed. In order to test the performance of the proposed FLC based DTC scheme for IM drive a complete simulation model is developed using MATLAB/Simulink. The proposed FLC based DTC scheme is implemented in real-time using DSP board DS1104 for a prototype 1/3 hp motor. The performance of the proposed drive is tested at different operating conditions both in simulation and experiment.
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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 it