Special Issue "Algorithms for PID Controller 2021"

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Ramiro Barbosa
E-Mail Website
Guest Editor
GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Department of Electrical Engineering, Institute of Engineering – Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4249-015, Porto, Portugal
Interests: control; simulation; optimization; fractional calculus; evolutionary algorithms; artificial intelligence
Special Issues and Collections in MDPI journals
Prof. Dr. Isabel Jesus
E-Mail Website
Guest Editor
GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Department of Electrical Engineering, Institute of Engineering – Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4249-015, Porto, Portugal
Interests: control; simulation; optimization; fractional calculus; evolutionary algorithms; artificial intelligence
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

To date, the PID controller is the most commonly used control algorithm in industry applications. Since its first developments, the PID algorithm has gone hand in hand with the evolution of science and engineering, and new methods and applications have been introduced over time. Advances in recent decades provided by the area of fractional-order control, and more recently by artificial intelligence techniques, have given rise to a refreshing boost to PID control.

This Special Issue aims to present the most recent developments in the theory and applications of PID controllers. The focus is on reporting theoretical and applied research results in control structures, optimization techniques, metaheuristic algorithms, tuning methods, digital implementations, and applications of the PID algorithm, among others, and in the use of current techniques of artificial intelligence such as machine learning, deep learning, and reinforcement learning.

Prof. Dr. Ramiro S. Barbosa
Prof. Dr. Isabel Jesus
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. Algorithms 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). 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

  • Fractional-order PID controller
  • Fuzzy PID controller
  • Neural PID controller
  • Fuzzy logic
  • Fractional-order control
  • Predictive control
  • Optimization
  • Neural networks
  • Metaheuristic algorithms
  • Neural-fuzzy algorithms
  • Evolutionary algorithms
  • Machine learning
  • Deep learning
  • Digital implementation
  • Reinforcement learning
  • Artificial intelligence

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Analysis of a Traditional and a Fuzzy Logic Enhanced Perturb and Observe Algorithm for the MPPT of a Photovoltaic System
Algorithms 2021, 14(1), 24; https://0-doi-org.brum.beds.ac.uk/10.3390/a14010024 - 14 Jan 2021
Cited by 1 | Viewed by 562
Abstract
This paper presents the results obtained for the maximum power point tracking (MPPT) technique applied to a photovoltaic (PV) system, composed of five solar panels in series using two different methodologies. First, we considered a traditional Perturb and Observe (P&O) algorithm and in [...] Read more.
This paper presents the results obtained for the maximum power point tracking (MPPT) technique applied to a photovoltaic (PV) system, composed of five solar panels in series using two different methodologies. First, we considered a traditional Perturb and Observe (P&O) algorithm and in a second stage we applied a Fuzzy Logic Controller (FLC) that uses fuzzy logic concepts to improve the traditional P&O; both were implemented in a boost converter. The main aim of this paper is to study if an artificial intelligence (AI) based MPPT method, can be more efficient, stable and adaptable than a traditional MPPT method, in varying environment conditions, namely solar irradiation and/or environment temperature and also to analyze their behaviour in steady state conditions. The proposed FLC with a rule base collection of 25 rules outperformed the controller using the traditional P&O algorithm due to its adaptative step size, enabling the FLC to adapt the PV system faster to changing environment conditions, guessing the correct maximum power point (MPP) faster and achieving lower oscillations in steady state conditions, leading to higher generated energy due to lower losses both in steady state and dynamic environment conditions. The simulations in this study were performed using MATLAB (Version 2018)/Simulink. Full article
(This article belongs to the Special Issue Algorithms for PID Controller 2021)
Show Figures

Figure 1

Back to TopTop