Special Issue "New Control Schemes for Actuators"

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

Deadline for manuscript submissions: closed (30 November 2021).

Special Issue Editors

Prof. Dr. Oscar Barambones
E-Mail Website
Guest Editor
Department of Systems Engineering and Automation, Faculty of Engineering of Vitoria, University of the Basque Country, 1006 Vitoria, Spain
Interests: intelligent control; robust control; adaptive control; neural network control; fuzzy logic control; nonlinear system control; linear system control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jose Antonio Cortajarena
E-Mail Website
Guest Editor
Engineering School of Gipuzkoa, University of the Basque Country (UPV/EHU), Otaola 29, 20600 Eibar, Spain
Interests: advanced control of electric machines; power electronics; renewable energy; intelligent control; neural network control; fuzzy logic control; linear system control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Patxi Alkorta
E-Mail Website
Guest Editor
Department of Systems Engineering and Automation, Faculty of Engineering, University of the Basque Country, 20600 Eibar, Spain
Interests: sliding mode control; robust control; model predictive control; adaptive control; three-phase machine control; nonlinear system control; linear system control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Actuators Special Issue on “New Control Schemes for Actuators”.

An actuator is a device that moves or controls some mechanism. An actuator turns a control signal into mechanical action, such as an electric motor. Actuators may be based on hydraulic, pneumatic, electric, thermal or mechanical means and may be powered by electric current, hydraulic fluid or pneumatic pressure. However, increasingly, these systems are being driven by software, because the control signal comes from a microcontroller programmed by software.

Therefore, a key element in order to increase the reliability and performance of these actuators is the control system. Limitations of traditional control techniques to cope with real control problems have motivated the invention of new control schemes in order to improve the performance.

Therefore, due to the nonlinear dynamics and uncertainties usually present in actuators, the reliability and performance of these systems can be enhanced employing advanced control schemes.

This Special Issue of Actuators aims at addressing the challenges in control design and implementation for actuators in order to increase the reliability and performance of these systems. Original submissions focusing on new control techniques and practical implementation of these new control schemes which are useful for increasing our knowledge of better and new applications for actuators systems, on the basis of one or more of the following topics, are welcome in this Special Issue. The issue will include but is not be limited to:

  • Adaptive control schemes;
  • Robust control schemes;
  • Sliding-mode-based control schemes;
  • Fuzzy-logic-based control schemes;
  • Neural-network-based control schemes;
  • Observer-based control schemes;
  • Practical implementation of advanced control schemes;
  • Wireless sensors in control schemes.

Prof. Dr. Oscar Barambones
Prof. Dr. Jose Antonio Cortajarena
Prof. Dr. Patxi Alkorta
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 papers will be 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 1600 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

  • Piezoelectric actuators
  • Electric actuators
  • Electromechanical actuators
  • Intelligent control
  • Robust control
  • Nonlinear observers

Published Papers (1 paper)

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Research

Article
Electromagnetic Actuator System Using Witty Control System
Actuators 2021, 10(3), 65; https://doi.org/10.3390/act10030065 - 22 Mar 2021
Cited by 1 | Viewed by 732
Abstract
Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial [...] Read more.
Electromagnetic actuator systems composed of an induction servo motor (ISM) drive system and a rice milling machine system have widely been used in agricultural applications. In order to achieve a finer control performance, a witty control system using a revised recurrent Jacobi polynomial neural network (RRJPNN) control and two remunerated controls with an altered bat search algorithm (ABSA) method is proposed to control electromagnetic actuator systems. The witty control system with finer learning capability can fulfill the RRJPNN control, which involves an attunement law, two remunerated controls, which have two evaluation laws, and a dominator control. Based on the Lyapunov stability principle, the attunement law in the RRJPNN control and two evaluation laws in the two remunerated controls are derived. Moreover, the ABSA method can acquire the adjustable learning rates to quicken convergence of weights. Finally, the proposed control method exhibits a finer control performance that is confirmed by experimental results. Full article
(This article belongs to the Special Issue New Control Schemes for Actuators)
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