Digital Sliding Mode Based Model-Free PWM Current Control of Switched Reluctance Machines
Bibliographic record
Abstract
This article presents a digital sliding mode based robust model-free pulsewidth mode current control method for switched reluctance machine (SRM) drives. The model-free nature of the proposed controller allows complete elimination of the phase inductance or flux-linkage identification process. From the controller point of view, this exclusion yields excellent computational efficiency and low memory usage. In the proposed control method, the model information required to achieve a consistent closed-loop dynamic response is treated as an extended state and it is estimated online via unit time-step delayed approximation. The effect of this delay becomes significant as the operating speed increases. The estimation accuracy of the extended state is also affected by the noise in the current measurement. The effect of these factors on the control performance is compensated by using an auxiliary control action derived from a Lyapunov energy function analysis in the discrete-time domain. The resultant controller achieves accurate tracking of the reference phase current profile at fixed switching frequency modulation. It demonstrates a robust tracking performance throughout the controllable operating range of the SRM drive amid low signal-to-noise ratio.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".