Modélisation et commande harmoniques pour les systèmes d’actionnement électrique
Bibliographic record
Abstract
This thesis focuses on the field of harmonic modeling and real-time control for electric actuation chains. Harmonic modeling is a tool based on sliding Fourier decomposition, enabling the analysis of systems with periodic characteristics in a harmonic space where these characteristics become constant signals. The first chapter provides a state-of-the-art review, highlighting the diversity of designations for harmonic modeling theory as it emerged in distinct communities, primarily for modeling and simulation purposes. It revisits the theoretical tools recently developed, which serve as solid foundations for this thesis. These tools represent a recent contribution to the state of the art, allowing for the synthesis of controllers directly in the harmonic domain, with guarantees of the existence of a controller in the time domain. The second chapter translates these theoretical concepts into a control applied experimentally, in real-time, to a nonlinear system regulation problem: the three-phase AC/DC rectifier. Thisstudy demonstrates how harmonic modeling can be effectively used to control the Total Harmonic Distortion (THD), a major challenge in modern electrical systems, alongside traditional control objectives such as DC bus regulation and power factor. The experimental results validate the relevance of this approach and open interesting perspectives for industrial applications. The third chapter addresses the conceptual challenge of transitioning to variable frequency, a crucial step requiring refinement of the theoretical tools established in the first chapter. This extends the capabilities of harmonic modeling to more complex and dynamic systems. Finally, the fourth chapter applies these tools to the control of rotating machines, whose speed is inherently variable. We propose a robust control in the harmonic domain, ensuring system stability and performance under varied operating conditions, particularly in the presence of harmonic load disturbances. By decomposing a typical electric actuation chain (AC network - rectifier - DC bus - PMSM), this thesis illustrates how harmonic theory can be exploited across multiple control stages to enhance the overall system performance. The results obtained in this thesis contribute to advancing knowledge in the field of automation and electric actuation by proposing an innovative use of harmonic tools. These works pave the way for new industrial and scientific applications while strengthening the theoretical foundations of harmonic modeling.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".