Design of RST controllers based on intelligent optimization algorithms

Aman Jacknoon; Mohamed Hassan; Sami El Ferik

doi:10.1109/SGCAC.2016.7458025

Design of RST controllers based on intelligent optimization algorithms

Aman Jacknoon, Mohamed Hassan, Sami El Ferik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

The Proportional Integral Derivative controller (PID) and the RST controller are the dominant controllers nowadays, since they have simple structure and perform well in most of control loops application. However, unlike PID the RST controller doesn't have direct tuning procedure. In this paper we present an approach for designing and tuning the RST controller by using intelligence optimization algorithms. Three algorithms namely (BSOA, DE and PSO) have been tested in tuning RST controller that controls an electrical DC motor that has been used as a benchmark. Simulation results show PSO tuned RST structure to be more robust and have high performance.

Original language	English
Title of host publication	Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016
Editors	Khalid Badawi, Sharief F. Babiker
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	177-182
Number of pages	6
ISBN (Electronic)	9781509018123
DOIs	https://doi.org/10.1109/SGCAC.2016.7458025
State	Published - 21 Apr 2016

Publication series

Name	Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Backtracking Search Optimization Algorithm (BSOA)
Differential Evolution Algorithm (DE)
Particle Swarm Optimization Algorithm (PSO)
RST Controller

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology

Access to Document

10.1109/SGCAC.2016.7458025

Cite this

Jacknoon, A., Hassan, M., & Ferik, S. E. (2016). Design of RST controllers based on intelligent optimization algorithms. In K. Badawi, & S. F. Babiker (Eds.), Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016 (pp. 177-182). Article 7458025 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGCAC.2016.7458025

Jacknoon, Aman ; Hassan, Mohamed ; Ferik, Sami El. / Design of RST controllers based on intelligent optimization algorithms. Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. editor / Khalid Badawi ; Sharief F. Babiker. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 177-182 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016).

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title = "Design of RST controllers based on intelligent optimization algorithms",

abstract = "The Proportional Integral Derivative controller (PID) and the RST controller are the dominant controllers nowadays, since they have simple structure and perform well in most of control loops application. However, unlike PID the RST controller doesn't have direct tuning procedure. In this paper we present an approach for designing and tuning the RST controller by using intelligence optimization algorithms. Three algorithms namely (BSOA, DE and PSO) have been tested in tuning RST controller that controls an electrical DC motor that has been used as a benchmark. Simulation results show PSO tuned RST structure to be more robust and have high performance.",

keywords = "Backtracking Search Optimization Algorithm (BSOA), Differential Evolution Algorithm (DE), Particle Swarm Optimization Algorithm (PSO), RST Controller",

author = "Aman Jacknoon and Mohamed Hassan and Ferik, \{Sami El\}",

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Jacknoon, A, Hassan, M & Ferik, SE 2016, Design of RST controllers based on intelligent optimization algorithms. in K Badawi & SF Babiker (eds), Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016., 7458025, Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 177-182. https://doi.org/10.1109/SGCAC.2016.7458025

Design of RST controllers based on intelligent optimization algorithms. / Jacknoon, Aman; Hassan, Mohamed ; Ferik, Sami El.
Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. ed. / Khalid Badawi; Sharief F. Babiker. Institute of Electrical and Electronics Engineers Inc., 2016. p. 177-182 7458025 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The Proportional Integral Derivative controller (PID) and the RST controller are the dominant controllers nowadays, since they have simple structure and perform well in most of control loops application. However, unlike PID the RST controller doesn't have direct tuning procedure. In this paper we present an approach for designing and tuning the RST controller by using intelligence optimization algorithms. Three algorithms namely (BSOA, DE and PSO) have been tested in tuning RST controller that controls an electrical DC motor that has been used as a benchmark. Simulation results show PSO tuned RST structure to be more robust and have high performance.

AB - The Proportional Integral Derivative controller (PID) and the RST controller are the dominant controllers nowadays, since they have simple structure and perform well in most of control loops application. However, unlike PID the RST controller doesn't have direct tuning procedure. In this paper we present an approach for designing and tuning the RST controller by using intelligence optimization algorithms. Three algorithms namely (BSOA, DE and PSO) have been tested in tuning RST controller that controls an electrical DC motor that has been used as a benchmark. Simulation results show PSO tuned RST structure to be more robust and have high performance.

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Jacknoon A, Hassan M , Ferik SE. Design of RST controllers based on intelligent optimization algorithms. In Badawi K, Babiker SF, editors, Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 177-182. 7458025. (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016). doi: 10.1109/SGCAC.2016.7458025

Design of RST controllers based on intelligent optimization algorithms

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this