Adaptive Current Observer Design for Single Current Sensor Control in PMSM Drives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A 3-phase permanent magnet synchronous machine (PMSM) drive system usually requires at least two current sensors for phase current measurements to achieve high performance control. When there is only one current sensor working in the drive system, accurate current observers are critical to ensure the control performance. In this paper, a novel adaptive current observer based single current sensor (SCS) control strategy is proposed. In the proposed approach, an augmented current state observer is built based on the PMSM dynamic equations with the consideration of machine parameter variation and system uncertainties. To ensure a good SCS control performance in the time-varying speed condition, a new computationally efficient methodology towards a desired pole-placement for the adaptive observer gain design is also proposed. More specifically, the proposed observer gains can be calculated analytically for the desired dynamic performance. Compared with existing methods, the proposed current observer has a straightforward gain design, and it further reduces current estimation errors and improves the robustness against machine parameter variation and system uncertainty. The proposed SCS control approach is validated with extensive experimental tests on a laboratory interior PMSM under both steady-state and transient conditions.
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.
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 | 0.001 | 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 | 0.000 |
| 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 it