Advances in Smart Materials-Based Actuators

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuator Materials".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1057

Special Issue Editors


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Guest Editor
College of Communication Engineering, Jilin University, Changchun 130022, China
Interests: modeling and control for micro/nano devices and systems; nonlinear control theory; navigation and control of robot.
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Communication Engineering, Jilin University, Changchun 130022, China
Interests: smart material-based actuators; hysteresis model; iterative learning control; neural network

Special Issue Information

Dear Colleagues,

Smart material-based actuators possess the advantages of high precision, high stability, and high reliability, and are thus widely employed in the field of advanced equipment manufacturing. Smart material-based actuators, such as piezoelectric actuators, shape memory alloy-based actuators, and dielectric elastomer actuators, are facilitating the development of robotics, bio-operation devices, and other fields. With the aim of enabling these actuators to be effective, new challenges are presented to the researchers; these include creating an actuator design that is applicable to multi-application scenarios (ultra-precision resolution, large stroke, etc.); establishing modes to describe actuator characteristics; and designing intelligent control methods to achieve the high-quality control performance of smart material actuators, among others.

The aim of this Special Issue is to collect theoretical results related to actuator fabrication, modeling and control, as well as experimental studies related to their practical applications.

Papers are welcome on topics that are related, but not limited to, the following:

  • Motion planning;
  • State estimation;
  • Hysteresis system;
  • Neural network;
  • Parameter estimation;
  • Robust control;
  • Adaptive control;
  • Iterative learning control;
  • Data-driven control;
  • Actuator dynamics and control;
  • Innovative robotic actuation systems;
  • Underactuated robots;
  • Aerial robots;
  • Collaborative robots;
  • Mobile robots.

Prof. Dr. Miaolei Zhou
Dr. Yewei Yu
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. 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

  • hysteresis system
  • neural network
  • parameter estimation
  • robust control
  • adaptive control
  • iterative learning control
  • data-driven control
  • actuator dynamics and control
  • innovative robotic actuation systems

Published Papers (1 paper)

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Research

13 pages, 4144 KiB  
Article
High-Precision Position Tracking Control with a Hysteresis Observer Based on the Bouc–Wen Model for Smart Material-Actuated Systems
by Jubo Zhao, Yaobin Li, Yonggang Cao, Fukai Zhang, Ming Cui and Rui Xu
Actuators 2024, 13(3), 105; https://doi.org/10.3390/act13030105 - 07 Mar 2024
Viewed by 835
Abstract
The Bouc–Wen model has been widely adopted to describe hysteresis nonlinearity in many smart material-actuated systems, such as piezoelectric actuators, shape memory alloy actuators, and magnetorheological dampers. For effective control design, it is of interest to estimate the hysteresis state that is not [...] Read more.
The Bouc–Wen model has been widely adopted to describe hysteresis nonlinearity in many smart material-actuated systems, such as piezoelectric actuators, shape memory alloy actuators, and magnetorheological dampers. For effective control design, it is of interest to estimate the hysteresis state that is not measurable. In this paper, the design of a state observer for the Bouc–Wen model is presented. It is shown that, with sufficiently high observer gains, the state estimate error, including that for the hysteresis state, converges to zero exponentially fast. The utility of the proposed hysteresis observer is illustrated in the design of a high precision output-feedback position tracking controller, and the resulting tracking error is shown to decay exponentially via Lyapunov analysis. Simulation and experimental results show that the proposed hysteresis observer and the high precision position tracking controller outperform a traditional extended state observer and the corresponding tracking controller, respectively. Full article
(This article belongs to the Special Issue Advances in Smart Materials-Based Actuators)
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