Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System
When an electro-optical tracking system (ETS) needs higher control precision, system identification can be considered to improve the accuracy of the system, so as to improve its control effect. The fractional system model of ETS can describe the characteristics of the system better and improve the a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/7/3/264 |
| _version_ | 1797611618943631360 |
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| author | Tong Guo Jiuqiang Deng Yao Mao Xi Zhou |
| author_facet | Tong Guo Jiuqiang Deng Yao Mao Xi Zhou |
| author_sort | Tong Guo |
| collection | DOAJ |
| description | When an electro-optical tracking system (ETS) needs higher control precision, system identification can be considered to improve the accuracy of the system, so as to improve its control effect. The fractional system model of ETS can describe the characteristics of the system better and improve the accuracy of the system model. Therefore, this paper presents a fractional system identification algorithm for ETS that is based on an improved particle swarm optimization algorithm. The existence of the fractional order system of ETS was verified by identification experiments, and the fractional order system model was obtained. Under the same conditions, PI controllers were designed based on a fractional order system and an integer order system, respectively. The results verify the superiority of fractional order system in ETS. |
| first_indexed | 2024-03-11T06:31:16Z |
| format | Article |
| id | doaj.art-a2b90769d77345978e05b6030e1e1b61 |
| institution | Directory Open Access Journal |
| issn | 2504-3110 |
| language | English |
| last_indexed | 2024-03-11T06:31:16Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj.art-a2b90769d77345978e05b6030e1e1b612023-11-17T11:12:36ZengMDPI AGFractal and Fractional2504-31102023-03-017326410.3390/fractalfract7030264Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking SystemTong Guo0Jiuqiang Deng1Yao Mao2Xi Zhou3Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaKey Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, ChinaWhen an electro-optical tracking system (ETS) needs higher control precision, system identification can be considered to improve the accuracy of the system, so as to improve its control effect. The fractional system model of ETS can describe the characteristics of the system better and improve the accuracy of the system model. Therefore, this paper presents a fractional system identification algorithm for ETS that is based on an improved particle swarm optimization algorithm. The existence of the fractional order system of ETS was verified by identification experiments, and the fractional order system model was obtained. Under the same conditions, PI controllers were designed based on a fractional order system and an integer order system, respectively. The results verify the superiority of fractional order system in ETS.https://www.mdpi.com/2504-3110/7/3/264fractional system identificationparticle swarm optimizationelectro-optical tracking system |
| spellingShingle | Tong Guo Jiuqiang Deng Yao Mao Xi Zhou Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System Fractal and Fractional fractional system identification particle swarm optimization electro-optical tracking system |
| title | Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System |
| title_full | Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System |
| title_fullStr | Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System |
| title_full_unstemmed | Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System |
| title_short | Improved Particle Swarm Optimization Fractional-System Identification Algorithm for Electro-Optical Tracking System |
| title_sort | improved particle swarm optimization fractional system identification algorithm for electro optical tracking system |
| topic | fractional system identification particle swarm optimization electro-optical tracking system |
| url | https://www.mdpi.com/2504-3110/7/3/264 |
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