Modern Control in Theory and Practice

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2432

Special Issue Editor


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Guest Editor
Institute of Control and Computation Engineering,Faculty of Computer, Electrical and Control Engineering, University of Zielona Góra, Licealna 9, 65-417 Zielona Góra, Poland
Interests: fault tolerant control; fault diagnosis; system modeling; augmented reality; process optimization; tropical geometry; python; drones
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Special Issue Information

Dear Colleagues,

This Special Issue would aim simultaneously at purely academic solutions as well as practical industrial approaches. Control theory, especially advanced fault-tolerant control or optimal control, is seen by researchers from a different angle than that from which the industry practitioners see it. Collecting papers from a variety of sources and with a variety of perspectives, and looking on the other side, will be beneficial for academic researchers and industry engineers as well. The main focus would be modern control methods, sensors, and actuators’ fault detection and diagnosis, either in simulations, laboratory stands or full-size plants. Reviews and surveys would also be welcome. Optimal control and hybrid methods have also recently been exploited. In addition, a hardware-centric point of view would be an interesting perspective, as many promising methods require much more computational power than is widely available in industrial plants. Therefore, optimization methods for existing approaches can also find a place in this Special Issue.   

The Special Issue aims to become a bridge between Sensors and Actuators, and both the authors and the journal themselves will benefit from the scopes of both journals. Modern control methods cover a variety of issues, starting from sensors’ fault diagnosis, through proper actuators’ control and fault diagnosis, to process discrepancies robustness. Control engineering clearly covers the scopes of both Journals.

You may choose our Joint Special Issue in Actuators and Sensors.

Dr. Piotr Witczak
Guest Editor

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

  • Sensors and actuators
  • fault diagnosis
  • Fault-tolerant control
  • Simulation vs. real-life experiments
  • Optimization methods
  • Optimal control
  • Hybrid methods
  • Analytical methods in control
  • Machine learning in control

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Published Papers (1 paper)

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Research

17 pages, 13924 KiB  
Article
Linear Parameter-Varying Model Predictive Control for Hydraulic Wind Turbine
by Bin Han and Hongyan Gao
Actuators 2022, 11(10), 292; https://doi.org/10.3390/act11100292 - 12 Oct 2022
Cited by 6 | Viewed by 1874
Abstract
Wind speed uncertainty and measurement noise affect the control effect in hydraulic wind turbine systems. This paper proposes a model predictive control (MPC) method with a dynamic Kalman filter (KF) based on a linear parameter-varying (LPV) model to address this problem. First of [...] Read more.
Wind speed uncertainty and measurement noise affect the control effect in hydraulic wind turbine systems. This paper proposes a model predictive control (MPC) method with a dynamic Kalman filter (KF) based on a linear parameter-varying (LPV) model to address this problem. First of all, the LPV model for a nonlinear system of a hydraulic wind turbine is established using function substitution. Then, a LPV-based KF is introduced into the MPC to provide more precise estimated results and improve the anti-interference ability of the system. According to the current condition of the hydraulic wind turbine, the method updates the Kalman state estimator at each sampling instant and computes the optimal control input by solving a quadratic programming (QP) optimization problem. The performance and the efficiency of the proposed method is validated in simulation and compared with other methods. Full article
(This article belongs to the Special Issue Modern Control in Theory and Practice)
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