Positive position feedback-based methods for active vibration control of carbon fibre structures (aka Killing the vibes)
Notice bibliographique
Résumé
Unwanted mechanical vibrations can result in wear, damage and failure, incurring increased maintenance, repair, and replacement costs, and reducing the overall efficiency of systems. In an attempt to mitigate these undesirable vibrations, engineers have developed numerous vibration control techniques, ranging from passive damping methods to active control methods. Designed to tackle vibration problems that passive methods failed to solve, active vibration control (AVC) involves the participation of sensors, actuators, and a control algorithm, powered by an external source. While many control algorithms exist in the AVC field, one of the most popular ones is positive position feedback (PPF), which has been used on both linear and nonlinear systems. Still, despite its wide use, PPF remains an important topic of research, with much to be explored. The purpose of this work is to expand the knowledge of AVC through studies of PPF and PPF-based controllers, by focusing on two key topics: (1) multi-mode control via multi-input multi-output architectures and (2) nonlinear vibration control. These are explored using two crucial tools, experimentation and optimization. This work is further split into four chapters, covering PPF-based controllers with multi-input multi-output (MIMO) architecture for multi-mode control of linear vibrations, nonlinear MIMO PPF controllers for controlling nonlinear vibrations of a hardening structure, multi-mode control of hardening nonlinear vibrations using nonlinear MIMO PPF controllers and finally nonlinear MIMO PPF control of a softening structure’s nonlinear vibrations. These studies aim to demonstrate the versatility of PPF as a control algorithm, and the improvements that can be made to it by modifications. In each chapter, a vibration problem was defined, a PPF-based controller algorithm was developed using optimization techniques, and an experimental set-up was constructed, using a sandwich beam as a test structure. The controllers were tested experimentally, and the results were analyzed. Following the four research papers, a discussion chapter is presented, which discusses the observations gleaned from these works. It was determined that PPF controllers are capable of adequately suppressing a wide range of different vibrations, both linear and nonlinear, provided they are correctly tuned. Modifying the traditional PPF however allowed for improved control effects. The importance of experimental tuning and parameter optimization was also highlighted throughout these studies. Overall, these studies illustrated the success of PPF and PPF-based controllers in mitigating multi-mode vibrations both in linear and nonlinear cases, and the importance of using appropriate tuning techniques, based on experimentation and optimization, to achieve the best controller results
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».