DSP-based sinusoidal PWM signal generation algorithm for three phase inverters
Bibliographic record
Abstract
Generation of DSP-based patterns to control voltage source inverters substantially helped the development of modern electric drives used in various applications. Although the DSP control is well known, there are few papers that cover in detail the control signal generation methodology. This paper presents a DSP-based algorithm to generate sinusoidal PWM signals. The sinusoidal PWM generation algorithm is written in C language so it can be reused easily, in addition to the flexibility it provides in terms of changing the PWM switching frequency and the fundamental frequency of the inverter output voltage. The algorithm development methodology and the experimental results are presented. The output voltage and current harmonic spectra are compared for 5 kHz and 10 kHz carrier frequencies. The results show the effectiveness of the proposed algorithm. This work is part of a research project that aims to develop sensorless vector control of induction machines. This part is presented separately to document DSP based PWM algorithm development process.
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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".