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Actuators
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Advanced Actuators and Dampers for Next-Generation Vibration and Noise Control
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Advanced Actuators and Dampers for Next-Generation Vibration and Noise Control

A special issue of Actuators (ISSN 2076-0825).

Deadline for manuscript submissions: 15 May 2027 | Viewed by 1829

Special Issue Editors

Prof. Dr. Hermann Rottengruber

E-Mail Website
Guest Editor
Energy Conversion Systems for Mobile Applications, Institute for Engineering of Products and Systems (IEPS), Otto von Guericke University of Magdeburg, Magdeburg, Germany
Interests: alternative fuels; internal combustion engines; powertrain acoustics; electric engines; fuel cells
Dr. Braj Bhushan Prasad

E-Mail Website
Guest Editor
Energy Conversion Systems for Mobile Applications, Institute for Engineering of Products and Systems (IEPS), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
Interests: vibration control; noise control; NVH; passive damping; particle dampers; vibration measurement
Dr. Tommy Luft

E-Mail Website
Guest Editor
Energy Conversion Systems for Mobile Applications, Institute for Engineering of Products and Systems (IEPS), Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
Interests: active damping concepts; engine and powertrain acoustics; sound source localization and analysis

Special Issue Information

Dear Colleagues,

Vibration and noise control are essential in advancing the performance, safety, and reliability of engineering systems across diverse applications, including civil structures, aerospace, automotive, marine, and industrial machinery. The continuous evolution of materials, actuators, and control technologies has led to significant progress in the design of advanced damping systems. Active, passive, and hybrid damping approaches, supported by innovative actuation and sensing technologies, are enabling next-generation solutions that address complex structural dynamics and acoustic challenges.

This Special Issue on Advanced Actuators and Dampers for Next-Generation Vibration and Noise Control provides a platform for showcasing the latest developments in damping technologies and control methodologies. Submissions are invited that cover theoretical modeling, numerical simulations, experimental investigations, and real-world applications of advanced actuators and dampers. Topics of interest include smart materials, adaptive actuators, multi-modal vibration suppression, broadband noise reduction, and integrated hybrid systems for enhanced vibration and acoustic performance. By bringing together interdisciplinary research, this Special Issue aims to highlight state-of-the-art approaches that advance the design and application of intelligent damping solutions, contributing to more efficient, resilient, and sustainable vibration and noise control technologies for future engineering systems.

Prof. Dr. Hermann Rottengruber
Dr. Braj Bhushan Prasad
Dr. Tommy Luft
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Actuators is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • active vibration control
  • passive damping systems
  • hybrid damping technologies
  • smart actuators and materials
  • acoustic noise reduction
  • structural dynamics and control
  • adaptive vibration suppression
  • broadband noise mitigation
  • intelligent damping solutions
  • advanced actuator technologies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

15 pages, 1250 KB  
Article
A Hybrid Path Planning Framework for Forest Mowing Using Two-Body-Inspired Orbital Control
by Sun-Ho Jang, Woo-Jin Ahn, Yong-Jun Lee and Myo-Taeg Lim
Actuators 2026, 15(4), 179; https://doi.org/10.3390/act15040179 - 25 Mar 2026
Cited by 1 | Viewed by 418
Abstract
Autonomous vegetation management in unstructured forest environments imposes a conflicting requirement: maximizing wide-area coverage while maintaining close-proximity safety around irregular obstacles. Conventional repulsion-based avoidance methods often fail to meet mowing requirements by prematurely steering robots away from target trees, resulting in significant unmowed [...] Read more.
Autonomous vegetation management in unstructured forest environments imposes a conflicting requirement: maximizing wide-area coverage while maintaining close-proximity safety around irregular obstacles. Conventional repulsion-based avoidance methods often fail to meet mowing requirements by prematurely steering robots away from target trees, resulting in significant unmowed gaps. To address this limitation, this paper proposes a Hybrid Path Planning (HPP) framework that combines a shared global Boustrophedon coverage scaffold with a local orbital maneuvering strategy inspired by celestial two-body dynamics. Rather than redefining the full environment model, the proposed method treats the currently active tree as the dominant local interaction center and generates orbit-like trunk-proximal motion around it. A variable virtual mass model is introduced so that the local attraction weakens as mowing progresses, thereby supporting transition to a rejoining phase governed by a finite state machine (FSM). MATLAB simulations indicate that the proposed framework can improve the trade-off among near-tree coverage, clearance preservation, and trajectory continuity relative to repulsion-centered local-avoidance baselines under the same global traversal scaffold. Full article
(This article belongs to the Special Issue Advanced Actuators and Dampers for Next-Generation Vibration and Noise Control)
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40 pages, 2728 KB  
Article
From Manned to Unmanned Helicopters: A Transformer-Driven Cross-Scale Transfer Learning Framework for Vibration-Based Anomaly Detection
by Geuncheol Jang and Yongjin Kwon
Actuators 2026, 15(1), 38; https://doi.org/10.3390/act15010038 - 6 Jan 2026
Cited by 2 | Viewed by 847
Abstract
Unmanned helicopters play a critical role in various fields including defense, disaster response, and infrastructure inspection. Military platforms such as the MQ-8C Fire Scout represent high-value assets exceeding $40 million per unit including development costs, particularly when compared to expendable multicopter drones costing [...] Read more.
Unmanned helicopters play a critical role in various fields including defense, disaster response, and infrastructure inspection. Military platforms such as the MQ-8C Fire Scout represent high-value assets exceeding $40 million per unit including development costs, particularly when compared to expendable multicopter drones costing approximately $500–2000 per unit. Unexpected failures of these high-value assets can lead to substantial economic losses and mission failures, making the implementation of Health and Usage Monitoring Systems (HUMS) essential. However, the scarcity of failure data in unmanned helicopters presents significant challenges for HUMS development, while the economic feasibility of investing resources comparable to manned helicopter programs remains questionable. This study presents a novel cross-scale transfer learning framework for vibration-based anomaly detection in unmanned helicopters. The framework successfully transfers knowledge from a source domain (Airbus large manned helicopter) using publicly available data to a target domain (Stanford small RC helicopter), achieving excellent anomaly detection performance without labeled target domain data. The approach consists of three key processes. First, we developed a multi-task learning transformer model achieving an F-β score of 0.963 (β = 0.3) using only Airbus vibration data. Second, we applied CORAL (Correlation Alignment) domain adaptation techniques to reduce the distribution discrepancy between source and target domains by 79.7%. Third, we developed a Control Effort Score (CES) based on control input data as a proxy labeling metric for 20 flight maneuvers in the target domain, achieving a Spearman correlation coefficient ρ of 0.903 between the CES and the Anomaly Index measured by the transfer-learned model. This represents a 95.5% improvement compared to the non-transfer learning baseline of 0.462. Full article
(This article belongs to the Special Issue Advanced Actuators and Dampers for Next-Generation Vibration and Noise Control)
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