Special Issue "Active Flow Control Processes with Machine Learning and the Internet of Things"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Other Topics".

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editors

Prof. Dr. Valentina Emilia Balas
E-Mail Website
Guest Editor
Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad (Romania)
Interests: intelligent systems; fuzzy control; soft computing; smart sensors; information fusion; modeling and simulation
Prof. Dr. Dipankar Deb
E-Mail Website
Guest Editor
Department of Electrical Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad 380026, India
Interests: Active Flow Control; Aircraft Flight Control; Machine Learning; Wind Farm Controls

Special Issue Information

Dear Colleagues,

The topic of this Special Issue concerns the latest developments and investigations in the fields of flow control with a focus on data intensive studies involving machine learning, deep learning, and possibly applied using the Internet of Things. Boundary layer separation entails great energy losses and limits the performance of most flow-related devices. It imposes severe limitations not only on the design, but it also affects the operation and performance. Therefore, the control or realignment of boundary layer separation is warranted. Active flow control (AFC) is a fast-growing multidisciplinary science and technology aimed at altering a natural flow state or development path into a more desired state. These methods are used majorly to achieve transition delay, drag reduction, lift enhancement, turbulence management, separation postponement, noise suppression, etc. The potential benefits of flow control may include improved performance, affordability, fuel consumption economy, and environmental compliance. In recent years, attention has also been focused on the control and suppression of combustion instabilities by actively and continuously perturbing certain combustion parameters in order to interrupt the growth and persistence of resonant oscillations. Implementing active flow control methods also permits improving the performance of wind turbines. Remarkable developments in control theory have considerably expanded the selection of available tools which may be applied to regulate physical systems. These techniques show great benefits for several applications in fluid mechanics, including the delay of flow transition, and thus of turbulence. In the field of biomedical engineering, modification of the flow properties of the blood for drag reduction in the arteries by addition of polymers/chemistry control in the blood could reduce the number of heart attacks or strokes due to clotting. Advanced drug delivery systems could be designed on the basis of our ability to control certain fluid properties and trajectories by direct physical manipulation or remote control of either the delivery systems or the fluids of interest. Potential topics include but are not limited to:

  • Accurate and efficient active and passive flow control devices for aeronautical applications;
  • Sensor-actuator integrated systems, with a possible focus on MEMS devices;
  • Smart structures combined with drag reduction techniques;
  • Laminar flow and engine integration technologies;
  • Synergy of active or passive flow and noise control technologies;
  • Flow control in propulsive systems;
  • Experimental characterization and reliable numerical simulation of flow field in the presence of actuators;
  • Wireless networks for active flow devices;
  • Energy management systems and networks for active flow devices;
  • Smart environment monitoring and control;
  • Smart management of active flow devices;
  • Innovative applications and services for active flow devices;
  • Machine learning methods applied to active flow devices;
  • Artificial neural networks for active flow control.

Prof. Dr. Valentina Emilia Balas
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 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. Processes 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 1400 CHF (Swiss Francs). Please note that for papers submitted after 30 June 2020 an APC of 1500 CHF applies. 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

  • active flow control
  • machine learning
  • Internet of Things
  • biomedical processes
  • flow separation
  • control theory
  • drug delivery systems

Published Papers (1 paper)

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Research

Open AccessArticle
On Parameter Stability Region of LADRC for Time-Delay Analysis with a Coupled Tank Application
Processes 2020, 8(2), 223; https://doi.org/10.3390/pr8020223 - 14 Feb 2020
Abstract
The control of time-delay systems is a hot research topic. Ever since the theory of linear active disturbance rejection control (LADRC) was put forward, considerable progress has been made. LADRC shows a good control effect on the control of time-delay systems. The problem [...] Read more.
The control of time-delay systems is a hot research topic. Ever since the theory of linear active disturbance rejection control (LADRC) was put forward, considerable progress has been made. LADRC shows a good control effect on the control of time-delay systems. The problem about the parameter stability region of LADRC controllers has been seldom discussed, which is very important for practical application. In this study, the dual-locus diagram method, which is used to solve the upper limit of the LADRC controller bandwidth, is studied for both first-order time-delay systems and second-order time-delay systems. The characteristic equation roots distribution is firstly transformed into the problem of finding the frequency of the dual-locus diagram intersection point. To solve the problem for second-order time-delay system LADRC controllers, which is a dual 10-order nonlinear equation, a transformation has been made through Euler’s formula and genetic algorithm (GA) has been adopted to search for the optimal parameters. Simulation results and experimental results on coupled tanks show the effectivity of the proposed method. Full article
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