Fractional Order Controllers: Design and Applications, 2nd Edition

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 3263

Special Issue Editors


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1. Research Group of Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University, Technologiepark 125, B-9052 Ghent, Belgium
2. Automation Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania
Interests: fractional calculus; fractional order control; biomedical systems; vibration suppression; non-Newtonian models
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Guest Editor
Faculty of Automation and Computer Science, Department of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400014 Cluj-Napoca, Romania
Interests: fractional calculus; predictive control; biomedical engineering; dead-time compensation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium
Interests: fractional calculus; biomedical engineering; anaesthesia control; viscoelastic phenomena; control engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Fractional calculus is an emerging field in system identification and control engineering. It is well-known that a fractional order model is more suitable to accurately describe complex physical phenomena such as viscoelasticity, diffusion in porous media and various biomedical processes. From the control perspective, fractional calculus extends the widely popular proportional integral derivative (PID) controller to a more versatile fractional order proportional integral derivative controller (FOPID), by adding two additional parameters to the controller’s transfer function consisting of arbitrary, non-integer, orders of integration and differentiation. The additional parameters enable the FOPID controller to satisfy a more restrictive set of specifications than the PID controller, resulting in more degrees of freedom, increased stability and improved performance of the closed-loop system. Furthermore, another major advantage consists of being able to impose the robustness specification (usually through the isodamping property) directly in the tuning procedure. Apart from the FOPID controller, there are also other control strategies that have been extended using fractional calculus with uplifting results.

This Special Issue focuses on design strategies of fractional order controllers and their various applications. The aim is to present the latest advances in theory, design, implementation and validation of any kind of fractional order control strategy for both integer and fractional order processes. Topics that are welcome for submission include (but are not limited to) the following:

  • Theoretical aspects of fractional order control (e.g., stability analysis);
  • Fractional order controller design strategies;
  • Digital and analog approximations of fractional order elements ;
  • Implementation of fractional order controllers (discrete time implementation strategies, control effort assessment, etc.);
  • Comparisons between fractional and integer order controllers;
  • Experimental implementation and validation;
  • Fractional order control in Industry 4.0;
  • Applications of fractional order control strategies.

Dr. Isabela Roxana Birs
Dr. Cristina I. Muresan
Prof. Dr. Clara Ionescu
Guest Editors

Manuscript Submission Information

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Keywords

  • fractional order PID controller
  • fractional calculus
  • fractional order control
  • robust fractional control
  • fractional order applications

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Published Papers (3 papers)

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Research

31 pages, 10033 KiB  
Article
A Novel Decentralized–Decoupled Fractional-Order Control Strategy for Complete Anesthesia–Hemodynamic Stabilization in Patients Undergoing Surgical Procedures
by Erwin T. Hegedüs, Isabela R. Birs, Clara M. Ionescu and Cristina I. Muresan
Fractal Fract. 2024, 8(11), 623; https://doi.org/10.3390/fractalfract8110623 - 24 Oct 2024
Viewed by 615
Abstract
Within biomedical engineering, there has been significant collaboration among clinicians, control engineers, and researchers to tailor treatments to individual patients. Anesthesia is integral to numerous medical procedures, necessitating precise management of hypnosis, analgesia, neuromuscular blockade, and hemodynamic variables. Recent attention has focused on [...] Read more.
Within biomedical engineering, there has been significant collaboration among clinicians, control engineers, and researchers to tailor treatments to individual patients. Anesthesia is integral to numerous medical procedures, necessitating precise management of hypnosis, analgesia, neuromuscular blockade, and hemodynamic variables. Recent attention has focused on computer-controlled anesthesia and hemodynamic stabilization. This research proposes the integration of a decentralized control strategy for the induction phase with a decoupled control approach for the maintenance phase, aimed at mitigating interactions within the multivariable human system. The proposed strategy is based on fractional-order controllers. The solution is validated using an open-source patient simulator featuring data from 24 virtual patients, demonstrating the efficiency of the proposed approach with respect to decentralized control. Full article
(This article belongs to the Special Issue Fractional Order Controllers: Design and Applications, 2nd Edition)
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32 pages, 6985 KiB  
Article
Servo Control of a Current-Controlled Attractive-Force-Type Magnetic Levitation System Using Fractional-Order LQR Control
by Ryo Yoneda, Yuki Moriguchi, Masaharu Kuroda and Natsuki Kawaguchi
Fractal Fract. 2024, 8(8), 458; https://doi.org/10.3390/fractalfract8080458 - 5 Aug 2024
Viewed by 829
Abstract
Recent research on fractional-order control laws has introduced the fractional calculus concept into the field of control engineering. As described herein, we apply fractional-order linear quadratic regulator (LQR) control to a current-controlled attractive-force-type magnetic levitation system, which is a strongly nonlinear and unstable [...] Read more.
Recent research on fractional-order control laws has introduced the fractional calculus concept into the field of control engineering. As described herein, we apply fractional-order linear quadratic regulator (LQR) control to a current-controlled attractive-force-type magnetic levitation system, which is a strongly nonlinear and unstable system, to investigate its control performance through experimentation. First, to design the controller, a current-controlled attractive-force-type magnetic levitation system expressed as an integer-order system is extended to a fractional-order system expressed using fractional-order derivatives. Then, target value tracking control of a levitated object is achieved by adding states, described by the integrals of the deviation between the output and the target value, to the extended system. Next, a fractional-order LQR controller is designed for the extended system. For state-feedback control, such as fractional-order servo LQR control, which requires the information of all states, a fractional-order state observer is configured to estimate fractional-order states. Simulation results demonstrate that fractional-order servo LQR control can achieve equilibrium point stabilization and enable target value tracking. Finally, to verify the fractional-order servo LQR control effectiveness, experiments using the designed fractional-order servo LQR control law are conducted with comparison to a conventional integer-order servo LQR control. Full article
(This article belongs to the Special Issue Fractional Order Controllers: Design and Applications, 2nd Edition)
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26 pages, 3795 KiB  
Article
Augmenting the Stability of Automatic Voltage Regulators through Sophisticated Fractional-Order Controllers
by Emad A. Mohamed, Mokhtar Aly, Waleed Alhosaini and Emad M. Ahmed
Fractal Fract. 2024, 8(5), 300; https://doi.org/10.3390/fractalfract8050300 - 20 May 2024
Cited by 1 | Viewed by 1054
Abstract
The transition from traditional to renewable energy sources is a critical issue in current energy-generation systems, which aims to address climate change and the increased demand for energy. This shift, however, imposes additional burdens on control systems to maintain power system stability and [...] Read more.
The transition from traditional to renewable energy sources is a critical issue in current energy-generation systems, which aims to address climate change and the increased demand for energy. This shift, however, imposes additional burdens on control systems to maintain power system stability and quality within predefined limits. Addressing these challenges, this paper proposes an innovative Modified Hybrid Fractional-Order (MHFO) automatic voltage regulator (AVR) equipped with a fractional-order tilt integral and proportional derivative with a filter plus a second-order derivative with a filter FOTI-PDND2N2 controller. This advanced controller combines the benefits of a (FOTI) controller, known for enhancing dynamic performance and steady-state response, with a (PDND2N2) controller to improve system robustness and adaptability. The proposed MHFO controller stands out with its nine tunable parameters, providing more extensive control options than the conventional three-parameter PID controller and the five-parameter FOPID controller. Furthermore, a recent optimization approach using a growth optimizer (GO) has been formulated and applied to optimally adjust the MHFO controller’s parameters simultaneously. The performance of the proposed AVR based on the MHFO-GO controller is scrutinized by contrasting it with various established and developed optimization algorithms. The comparative study shows that the AVR based on the MHFO-GO controller surpasses other AVR controllers from the stability, robustness, and dynamic response speed points of view. Full article
(This article belongs to the Special Issue Fractional Order Controllers: Design and Applications, 2nd Edition)
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