Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm; Mathematics; Vol. 8, iss. 7
| Parent link: | Mathematics Vol. 8, iss. 7.— 2020.— [1182, 21 p.] |
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| Institution som forfatter: | |
| Andre forfattere: | , |
| Summary: | Title screen This paper presents a novel method for optimal tunning of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for an Automatic Voltage Regulator (AVR) system. The presented method is based on the Yellow Saddle Goatfish Algorithm (YSGA), which is improved with Chaotic Logistic Maps. Additionally, a novel objective function for the optimization of the FOPID parameters is proposed. The performance of the obtained FOPID controller is verified by comparison with various FOPID controllers tuned by other metaheuristic algorithms. A comparative analysis is performed in terms of step response, frequency response, root locus, robustness test, and disturbance rejection ability. Results of the simulations undoubtedly show that the FOPID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests. |
| Sprog: | engelsk |
| Udgivet: |
2020
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| Fag: | |
| Online adgang: | https://doi.org/10.3390/math8071182 |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663561 |
MARC
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| 200 | 1 | |a Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm |f M. Micev, M. Calasan, D. A. Oliva Navarro | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 33 tit.] | ||
| 330 | |a This paper presents a novel method for optimal tunning of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for an Automatic Voltage Regulator (AVR) system. The presented method is based on the Yellow Saddle Goatfish Algorithm (YSGA), which is improved with Chaotic Logistic Maps. Additionally, a novel objective function for the optimization of the FOPID parameters is proposed. The performance of the obtained FOPID controller is verified by comparison with various FOPID controllers tuned by other metaheuristic algorithms. A comparative analysis is performed in terms of step response, frequency response, root locus, robustness test, and disturbance rejection ability. Results of the simulations undoubtedly show that the FOPID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests. | ||
| 461 | |t Mathematics | ||
| 463 | |t Vol. 8, iss. 7 |v [1182, 21 p.] |d 2020 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a automatic voltage regulation system | |
| 610 | 1 | |a chaotic optimization | |
| 610 | 1 | |a fractional order proportional-integral-derivative controller | |
| 610 | 1 | |a yellow saddle goatfish algorithm | |
| 610 | 1 | |a система автоматического регулирования | |
| 610 | 1 | |a оптимизация | |
| 700 | 1 | |a Micev |b M. | |
| 701 | 1 | |a Calasan |b M. | |
| 701 | 1 | |a Oliva Navarro |b D. A. |c specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University |f 1983- |g Diego Alberto |3 (RuTPU)RU\TPU\pers\37366 |9 20284 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение информационных технологий |3 (RuTPU)RU\TPU\col\23515 |
| 801 | 2 | |a RU |b 63413507 |c 20210219 |g RCR | |
| 850 | |a 63413507 | ||
| 856 | 4 | |u https://doi.org/10.3390/math8071182 | |
| 942 | |c CF | ||