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Machines
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Adaptive Control Using Magnetorheological Technology
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Adaptive Control Using Magnetorheological Technology

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 3191

Special Issue Editors

Dr. Lei Deng

E-Mail Website
Guest Editor
School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: magnetorheological dampers; absorbers; vehicle suspensions; robotics; vehicle transmission systems
Dr. Wenxing Li

E-Mail Website
Guest Editor
School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW 2052, Australia
Interests: vibration control; adaptive control; robust control; vehicle suspensions, robotics
Prof. Dr. Jian Yang

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Anhui University, Hefei 230039, China
Interests: magnetorheological technology; vibration control; smart mechatronical systems; robotics

Special Issue Information

Dear Colleagues,

Magnetorheological (MR) technology has received considerable research attention in recent decades. MR materials, such as MR fluids, MR elastomers, MR greases, MR foams, etc., have been developed and widely investigated. Owing to the advantages of controllable properties, low energy consumption, and fast and reversible responses, devices such as MR dampers/ absorbers/ isolators are deemed ideal choices in adaptive control systems to address major engineering issues such as vibration control and impact protection in the application of vehicles, aircraft, buildings, robots, and so on.

This is a call for a Special Issue on “Adaptive Control Using Magnetorheological Technology”. The Special Issue will provide a platform for scholars and researchers to showcase their recent progress and findings, whilst highlighting key challenges and difficulties for future study in this field. The submitted papers are expected to contribute innovative ideas and major breakthroughs in the application of MR technology in adaptive control. Acceptable research topics include, but are not limited to, the following:

  • Fundamental investigations on MR materials;
  • Advanced magnetorheological devices and structures;
  • Cutting-edge control theories and algorithms for MR applications;
  • Vibration attenuation, isolation and absorption based on MR systems for vehicles, buildings, railway systems, etc.;
  • Other applications of MR technology, such as the impact protection of the landing gear of aircrafts.

Dr. Lei Deng
Dr. Wenxing Li
Prof. Dr. Jian Yang
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Machines 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

  • magnetorheological
  • adaptive control
  • vibration attenuation
  • vibration isolation

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Published Papers (2 papers)

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Research

19 pages, 6972 KiB  
Article
Development of an Innovative Magnetorheological Gearbox for Positioning Control and Anti-Disturbance of a Robotic Arm
by Yuyang Zhang, Shuaishuai Sun, Lei Deng, Guorui Wang, Rui Yu, Weihua Li, Xinglong Gong, Shiwu Zhang, Haiping Du and Jian Yang
Machines 2025, 13(1), 56; https://doi.org/10.3390/machines13010056 - 15 Jan 2025
Viewed by 424
Abstract
The robotic arm is a critical component of modern industrial manufacturing. However, its positioning performance can be hindered by overshooting and oscillation. External disturbances, including collisions or impacts with other objects, can also affect its accuracy and precision. To resolve this problem, this [...] Read more.
The robotic arm is a critical component of modern industrial manufacturing. However, its positioning performance can be hindered by overshooting and oscillation. External disturbances, including collisions or impacts with other objects, can also affect its accuracy and precision. To resolve this problem, this work integrates a compact magnetorheological (MR) bearing, which is capable of switching between locking and unlocking states utilizing the MR effect, into the gearbox of the actuation system of the robotic arm. This integration enables the gearbox (referred to as the MR gearbox) to exhibit variable damping characteristics. This controllable damping property will play an important role in improving the positioning accuracy by offering additional damping. In this study, the MR gearbox was first designed and prototyped. A characterization test was then conducted to verify its variable damping property. The classic Bouc–Wen model was used to describe the MR gearbox and then a mathematical model was established for the whole robotic arm. Additionally, a new variable damping control method was proposed for further improving the positioning precision and reducing energy consumption. As follows, the positioning and the anti-disturbance performances of the robotic arm system installed with the MR gearbox were assessed through numerical simulations and experimental tests. The result shows that the robotic arm under the new control method achieves reductions of 11.76% in overshoot, 14.73% in settling time, and 26.1% in energy consumption compared to the uncontrolled case under the step trajectory, indicating improved positioning performance. Full article
(This article belongs to the Special Issue Adaptive Control Using Magnetorheological Technology)
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17 pages, 3263 KiB  
Article
Adaptive Control for Suspension System of In-Wheel Motor Vehicle with Magnetorheological Damper
by Dal-Seong Yoon and Seung-Bok Choi
Machines 2024, 12(7), 433; https://doi.org/10.3390/machines12070433 - 25 Jun 2024
Cited by 1 | Viewed by 2012
Abstract
This study proposes two adaptive controllers and applies them to the vibration control of an in-wheel motor vehicle’s (electric vehicle) suspension system, in which a semi-active magnetorheological (MR) damper is installed as an actuator. As a suspension model, a nonlinear quarter car is [...] Read more.
This study proposes two adaptive controllers and applies them to the vibration control of an in-wheel motor vehicle’s (electric vehicle) suspension system, in which a semi-active magnetorheological (MR) damper is installed as an actuator. As a suspension model, a nonlinear quarter car is used, providing greater practical feasibility than linear models. In the synthesis of the controller design, the values of the sprung mass, damping coefficient and suspension stiffness are treated as bounded uncertainties. To take into account the uncertainties, both direct and indirect adaptive sliding mode controllers are designed, in which the principal control parameters for the adaptation law are updated using the auto-tune method. To reflect the practical implementation of the proposed controller, only two accelerometers are used, and the rest of the state values are estimated using a Kalman observer. The designed controller is applied to a quarter car suspension model of an in-wheel motor vehicle featuring an MR damper, followed by a performance evaluation considering factors such as ride comfort and road holding. It is demonstrated in this comparative work that the proposed adaptive controllers show superior control performance to the conventional proportional–integral–derivative (PID) controller by reducing the vibration magnitude by 50% and 70% for the first and second modes, respectively. In addition, it is identified that the second mode (wheel mode) of the in-wheel motor vehicle is more sensitive than the first body mode depending on the mass ratio between the sprung and unsprung mass. Full article
(This article belongs to the Special Issue Adaptive Control Using Magnetorheological Technology)
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