Harmonic injection based adaptive control of IPM motor drive for reduced motor current harmonics
Bibliographic record
Abstract
This paper presents a robust nonlinear controller for interior permanent magnet synchronous motors (IPMSM) based on maximum torque per ampere (MTPA). Harmonic reduction is achieved through strategic harmonic injection into the command voltages. Third harmonic injection also permits increased utilization (transfer ratio) of supply potential which facilitates a greater speed operating range. Stability of the control law state variables is demonstrated through Lyapunov stability criterion. Global asymptotic stability is assured through the application of criterion supported by Barbalat's lemma. Control expressions are derived using adaptive back-stepping technique, with estimation of dynamic load and mechanical coefficient ensuring optimal performance under dynamic operating conditions. The proposed system has been implemented in a co-simulation environment, with control system and machine model implemented in Matlab/Simulink and PSIM, respectively. The complete drive system is implemented using the DS1104 DSP board for a 3.7kW laboratory motor. Both experimental and simulation results have demonstrated excellent drive performance, harmonic distortion reduction and an increase in the linear modulation range.
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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".