The major goal of this paper is to tune PID and PIλDδ controllers using Particle Swarm Optimization (PSO) algorithm via El-Khazali’s approach. This is the first time that such a method is employed for meeting this problem. El-Khazali’s approach is, usually, used to approximate fractional-order Laplacian operators of order α; s±α, 0 < α ≤ 1, by finite-order rational transfer functions. The significance of this approach lies in developing an algorithm that depends only on α, which enables one to synthesize both fractional-order inductors and capacitors. To illustrate the proposed design method, an objective function is presented as well as the results of using the PIλDδ controller are compared with the results of using the conventional PID controller to minimize several error functions; ITAE, IAE, ISE and ITSE. These results of such comparisons that are related to step response specifications, allow us to see the effectiveness of the best controller.
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13 November 2019
PROCEEDINGS OF THE 45TH INTERNATIONAL CONFERENCE ON APPLICATION OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’19)
07–13 June 2019
Sozopol, Bulgaria
Research Article|
November 13 2019
Tuning PID and PIλDδ controllers using particle swarm optimization algorithm via El-Khazali’s approach
Shaher Momani;
Shaher Momani
a)
1
Department of Mathematics and Sciences, College of Humanities and Sciences, Ajman University
, Ajman, UAE
2
Department of Mathematics, Faculty of Science, The University of Jordan
, Amman 11942, Jordan
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Reyad El-Khazali;
Reyad El-Khazali
b)
3
ECCE Department, Khalifa University
, Abu-Dhabi 127788, UAE
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Iqbal M. Batiha
Iqbal M. Batiha
2
Department of Mathematics, Faculty of Science, The University of Jordan
, Amman 11942, Jordan
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AIP Conf. Proc. 2172, 050003 (2019)
Citation
Shaher Momani, Reyad El-Khazali, Iqbal M. Batiha; Tuning PID and PIλDδ controllers using particle swarm optimization algorithm via El-Khazali’s approach. AIP Conf. Proc. 13 November 2019; 2172 (1): 050003. https://doi.org/10.1063/1.5133522
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