Improved Control for Three- Phase Rectifiers with Constant Power Loads
Bibliographic record
Abstract
Three-Phase Pulse Width Modulated (PWM) rec-tifiers are used in a different number of applications such as battery chargers, renewable energy systems, and motor drives, among others. Most of these systems adopt a multi-stage archi-tecture and the rectifier is used as the first stage to transfer the power from the AC source to the DC bus which is connected to one or more power converters to transfer the power to different types of loads. These load converters usually regulate their output currents and voltages, and consequently, they present constant power load (CPL) behavior from the rectifier's point of view. The presence of CPLs in the DC-bus provides additional constraints for the control design deteriorating the stability and dynamic performance of the system. Although conventional linear control approaches are able to regulate the DC-bus around the design operating point, they are ineffective when large CPL transients are applied, obtaining large settling times and voltage/current overshoot that can lead to system failure due to the collapse of the DC-bus. This work introduces an effective geometric-based controller that improves the dynamic performance of three- phase rectifiers loaded with CPLs in the DC-bus. The design and operation of the proposed controller are based on the normalized decoupled model of the rectifier in the synchronous reference frame (SRF). The derived model provides a simple graphical representation of the operating point dynamics in the state plane. In this way, the insights provided by the state plane analysis can be applied to define and derive a control law that achieves improved dynamic performance under CPL transients. The implementation of the proposed controller is validated by hardware-in-the-loop(HIL) experimental results and compared with the conventional linear approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".