Special Issue "Design, Control, Simulation and Modeling of Multivariable Systems"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Supervision".

Deadline for manuscript submissions: closed (31 July 2021).

Special Issue Editors

Prof. Dr. Francisco Vazquez
E-Mail Website
Guest Editor
Department of Electrical Engineering and Automatic Control, University of Cordoba, 14014 Cordoba, Spain
Interests: multivariable control; PID controllers; object-oriented modeling and process control
Prof. Dr. Juan Garrido Jurado
E-Mail Website
Guest Editor
Department of Electrical Engineering and Automatic Control, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain
Interests: multivariable control; PID controllers; object-oriented modeling and process control
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Special Issue Information

Dear Colleagues,

Most natural or artificial processes are complex systems that involve different domains of nature and multiple interrelated variables. In some of them, there are complicated couplings between these variables, which may cause difficulties in modeling the processes and in designing feedback controllers. Process control problems are traditionally solved using single-loop PID controllers because they are easily understood and implemented. These decentralized approaches are adequate when the interactions in different channels of the process are modest. However, when interactions are important, it is convenient to consider more complex strategies, using multivariable control methodologies, including decoupling, detuning control loops, or designing full matrix controller (centralized control).

Control of multiple-input–multiple-output (MIMO) systems remains a challenge in the process control community, especially for those processes with strong interaction and/or with high time delays. This Special Issue on “Design, Control, Simulation and Modeling of Multivariable Systems” aims to gather outstanding research and comprehensive coverage of all aspects related to the multivariable control paradigm. Topics include but not are limited to:

  • Decoupling control;
  • Centralized multivariable control;
  • Decentralized multivariable control;
  • Fractional order control;
  • Presence of delays in multivariable processes;
  • Predictive multivariable controllers;
  • Object-oriented multivariable modeling;
  • Model-based compensators;
  • Optimization problems in multivariable systems;
  • H-infinity controllers;
  • Nonlinear multivariable systems;
  • Computer-aided design.

 

Prof. Dr. Francisco Vázquez
Prof. Dr. Juan Garrido Jurado
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. 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 2000 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

  • centralized control
  • decentralized control
  • fractional order
  • delays
  • predictive control
  • object-oriented modeling
  • model-based compensators
  • optimization
  • H-infinity
  • nonlinear multivariable systems
  • computer-aided design

Published Papers (1 paper)

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Research

Article
Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain
Processes 2021, 9(1), 140; https://0-doi-org.brum.beds.ac.uk/10.3390/pr9010140 - 12 Jan 2021
Viewed by 470
Abstract
Multiloop proportional-integral-derivative (PID) controllers are widely used for controlling multivariable processes due to their understandability, simplicity and other practical advantages. The main difficulty of the methodologies using this approach is the fact that the controllers of different loops interact each other. Thus, the [...] Read more.
Multiloop proportional-integral-derivative (PID) controllers are widely used for controlling multivariable processes due to their understandability, simplicity and other practical advantages. The main difficulty of the methodologies using this approach is the fact that the controllers of different loops interact each other. Thus, the knowledge of the controllers in the other loops is necessary for the evaluation of one loop. This work proposes an iterative design methodology of multiloop PID controllers for stable multivariable systems. The controllers in each step are tuned using single-input single-output (SISO) methods for the corresponding effective open loop process (EOP), which considers the interaction of the other loops closed with the controllers of the previous step. The methodology uses a frequency response matrix representation of the system to avoid process approximations in the case of elements with time delays or complicated EOPs. Consequently, different robustness margins on the frequency domain are proposed as specifications: phase margin, gain margin, phase and gain margin combination, sensitivity margin and linear margin. For each case, a PID tuning method is described and detailed for the iterative methodology. The proposals are exemplified with two simulations systems where the obtained performance is similar or better than that achieved by other authors. Full article
(This article belongs to the Special Issue Design, Control, Simulation and Modeling of Multivariable Systems)
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