Research Article | OPEN ACCESS
A Novel Approach in Digital Controllers Design Using Metaheuristic Algorithms
1Mohammad Dashti Javan, 2Kambiz Shojaee Gandeshtani and 3Seyed Ehsan Aghakouchaki Hosseini
1Electrical Engineering Department, Amirkabir University of Technology (AUT), Tehran, Iran
2Computer Engineering Department, Ferdowsi University of Mashhad (FUM), Mashhad, Iran
3Civil Engineering Department, University of Mohaghegh Ardabili (UMA), Ardabil, Iran
Research Journal of Applied Sciences, Engineering and Technology 2020 3:74-87
Received: December 3, 2019 | Accepted: January 10, 2019 | Published: June 15, 2020
Abstract
Aim of this study is to present two optimal methods for adjusting parameters of PID controllers using Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms to achieve the desired goal intended for application of these controllers. Through adding intelligent techniques to the SA algorithm, it will lead to a higher speed and the reduction of the error in the PID controller. Available rules for setting PID parameters are commonly trial and error which involve various issues like being very time consuming, imprecise and facing a significant number of errors. Using performance measurement criteria and integrating them, an attainable method has been presented for setting these parameters which has a very high accuracy as wells as a significant speed, with a very low rate of error. Results obtained in this research demonstrate a considerable efficiency compared with that of other proposed methodologies.
Keywords:
Modified SA algorithm, PID controller, PSO,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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