Dynamic modeling and harmonic analysis of surface-mounted three-phase AC permanent magnet synchronous motor
Bibliographic record
Abstract
CNC machine tools have high requirements for precision and smoothness of motion. As the power source, the performance of the servo motor has a significant impact on the movement of the machine tool. Harmonic is a common phenomenon in motors, which brings adverse effects on the performance of the motor, even the whole machine and the machined parts. Therefore, it’s of great significance to study the source, characteristics, and influencing factors of the harmonics. In this paper, the time domain modeling, simulation, and analysis are carried out for the harmonic phenomenon of the surface-mounted 3-phase AC permanent magnet synchronous motor (PMSM). Firstly, a dynamic model of the servo motor integrated with its control and driving system is established under ideal conditions, and the simulation of the motor running state is realized in the time domain. On this basis, the modeling and simulation are carried out for the inverter dead-zone, cogging torque, rotor mixed-eccentricity, and 3-phase asymmetry, respectively, and the frequency components of the harmonics caused by these factors are obtained. Finally, the influence of load and motor rotational velocity on 3-phase current and torque harmonics is analyzed, and the interactions between the inverter and the motor are investigated. The results show that the inverter and the motor are coupled to each other as an integrated system, and they have impacts on each other. The established model is verified by experiments.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".