Hamiltonian-Based Hybrid Control of Permanent Magnet Synchronous Motor Drives for DC Microgrid Applications
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Bibliographic record
Abstract
This paper presents a Hamiltonian-based hybrid control strategy of permanent magnet synchronous motor (PMSM) drives for DC microgrid applications. Conventional field-oriented and direct torque control schemes often struggle with constant power load (CPL) conditions, which introduce negative impedance and destabilize the DC bus. To overcome this, the proposed method integrates Hamiltonian energy control with second-order homogeneous tracking control. The Hamiltonian framework provides energy shaping and damping injections to ensure global stability, while the tracking controller eliminates steady-state speed errors and improves dynamic response. An extended Hamiltonian model with integral action is also introduced to guarantee accurate q-axis current regulation without relying on complex interconnection gains. Experimental tests on a real PMSM using a dSPACE MicroLabBox confirm the effectiveness of the approach, demonstrating smooth acceleration, robust speed regulation underload disturbances, and stable performance during speed reversal. These results highlight the practicality of Hamiltonian-based hybrid control for advanced EV and microgrid applications.
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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 it