{"title":"Experiment-in-the-Loop system for fast and effective tuning of active vibration controllers","authors":"Tarcisio M.P. Silva , Prabakaran Balasubramanian , Giulio Franchini , Abdulaziz Buabdulla , Marco Amabili","doi":"10.1016/j.ijmecsci.2024.109753","DOIUrl":null,"url":null,"abstract":"<div><div>Tuning active controllers is one of the main challenges in the field of active vibration control (AVC). To address this challenge, this study introduces a novel approach called Experiment in the Loop (EITL). The EITL method, unlike traditional techniques, automates the tuning process through an algorithm based on Particle Swarm Optimization (PSO). This algorithm carries out numerous experimental tests on a structure and, at each test, tries a new configuration of the controller, evaluates its performance, and iteratively improves the control parameters. The EITL's innovation lies in its ability to achieve fast and efficient tuning without any numerical model, making it a significant advancement in AVC technology. The EITL approach is validated by tuning five Multiple-Input Multiple-Output (MIMO) Positive Position Feedback (PPF) active vibration controllers on a composite beam equipped with three piezoelectric sensors and three piezoelectric actuators. Experimental results show that the ‖<em>H</em>‖<sub>∞</sub> norm of the composite beam is reduced up to 96.1% on certain modes, and an average reduction of 74.7% is achieved in a frequency range from 0 to 200 Hz with minimal spillover effects. The developed EITL opens the avenue to a fast and effective tuning of AVC without numerical models.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"284 ","pages":"Article 109753"},"PeriodicalIF":7.1000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002074032400794X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Tuning active controllers is one of the main challenges in the field of active vibration control (AVC). To address this challenge, this study introduces a novel approach called Experiment in the Loop (EITL). The EITL method, unlike traditional techniques, automates the tuning process through an algorithm based on Particle Swarm Optimization (PSO). This algorithm carries out numerous experimental tests on a structure and, at each test, tries a new configuration of the controller, evaluates its performance, and iteratively improves the control parameters. The EITL's innovation lies in its ability to achieve fast and efficient tuning without any numerical model, making it a significant advancement in AVC technology. The EITL approach is validated by tuning five Multiple-Input Multiple-Output (MIMO) Positive Position Feedback (PPF) active vibration controllers on a composite beam equipped with three piezoelectric sensors and three piezoelectric actuators. Experimental results show that the ‖H‖∞ norm of the composite beam is reduced up to 96.1% on certain modes, and an average reduction of 74.7% is achieved in a frequency range from 0 to 200 Hz with minimal spillover effects. The developed EITL opens the avenue to a fast and effective tuning of AVC without numerical models.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.