A multi-surface sliding-mode extremum seeking controller for alternator maximum power point tracking
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Bibliographic record
Abstract
Power maximization is of great interest in energy conversion systems including renewable sources and alternators used in automotive systems. This paper presents a multi-surface sliding-mode extremum seeking controller for achieving Maximum Power Point Tracking (MPPT) for energy conversion involving a Lundell alternator. The proposed multi-surface sliding scheme results in smooth and fast convergence to the extremum point while achieving robust performance in face of parametric uncertainties in the alternator model. In particular, it is shown that using multiple sliding surfaces would help to reduce chattering and increase the performance speed and precision of the system. The behavior of the system in terms of convergence characteristics is analyzed using a Lyapunov-like stability analysis. Simulation results demonstrate the efficiency of the proposed controller in terms of power maximization, robustness, and convergence speed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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