Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm
In this paper, the process of designing and construction of three-drive laboratory Drone system with cold gas thrusters as well as modeling and estimation of its model parameters are presented. These three thrusters are designed with an angle difference of 120 degrees to control the pitch and roll a...
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| Format: | Article |
| Language: | fas |
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Semnan University
2024-08-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_8361_62815c62be6f342d40dc113fe3c57b6e.pdf |
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| author | Seyyed Ali Saadatdar Arani Mehran Nosrstollahi Alireza Ahangarani Farahani Meysam Delalat |
| author_facet | Seyyed Ali Saadatdar Arani Mehran Nosrstollahi Alireza Ahangarani Farahani Meysam Delalat |
| author_sort | Seyyed Ali Saadatdar Arani |
| collection | DOAJ |
| description | In this paper, the process of designing and construction of three-drive laboratory Drone system with cold gas thrusters as well as modeling and estimation of its model parameters are presented. These three thrusters are designed with an angle difference of 120 degrees to control the pitch and roll angles. According to the structure of the designed platform, a three-inputs-two-outputs linear model is considered for modeling the mentioned system, and all connections between inputs and outputs are second-order linear models. The parameters of the model have been extracted based on the collection of laboratory data and the use of genetic algorithm. The results obtained from the simulation based on the extracted model and the comparison with the results of the practical tests indicate that a suitable modeling and estimation of the system has been provided. The results show that there is 16% error for modeling and estimation around the roll axis and 19% around the vertical axis, so the estimation around the roll axis is better. |
| format | Article |
| id | doaj-art-8d8006d6cacc4f0d9421bb81c67f7e66 |
| institution | Kabale University |
| issn | 2008-4854 2783-2538 |
| language | fas |
| publishDate | 2024-08-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj-art-8d8006d6cacc4f0d9421bb81c67f7e662025-01-15T08:15:49ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382024-08-01227711210.22075/jme.2023.29799.24038361Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithmSeyyed Ali Saadatdar Arani0Mehran Nosrstollahi1Alireza Ahangarani Farahani2Meysam Delalat3PhD Candidate, Faculty of Aerospace, Malek Ashtar University of TechnologyAssociate Professor, Faculty of Aerospace, Malek Ashtar University of TechnologyAssistant Professor, Faculty of Aerospace, Malek Ashtar University of TechnologyPhD, Faculty of Aerospace, Malek Ashtar University of TechnologyIn this paper, the process of designing and construction of three-drive laboratory Drone system with cold gas thrusters as well as modeling and estimation of its model parameters are presented. These three thrusters are designed with an angle difference of 120 degrees to control the pitch and roll angles. According to the structure of the designed platform, a three-inputs-two-outputs linear model is considered for modeling the mentioned system, and all connections between inputs and outputs are second-order linear models. The parameters of the model have been extracted based on the collection of laboratory data and the use of genetic algorithm. The results obtained from the simulation based on the extracted model and the comparison with the results of the practical tests indicate that a suitable modeling and estimation of the system has been provided. The results show that there is 16% error for modeling and estimation around the roll axis and 19% around the vertical axis, so the estimation around the roll axis is better.https://modelling.semnan.ac.ir/article_8361_62815c62be6f342d40dc113fe3c57b6e.pdfmodelingdrone designparameters estimationlinear least squares error algorithmoptimization algorithm |
| spellingShingle | Seyyed Ali Saadatdar Arani Mehran Nosrstollahi Alireza Ahangarani Farahani Meysam Delalat Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm مجله مدل سازی در مهندسی modeling drone design parameters estimation linear least squares error algorithm optimization algorithm |
| title | Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| title_full | Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| title_fullStr | Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| title_full_unstemmed | Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| title_short | Design, construction, modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| title_sort | design construction modeling and estimation of the second stage linear model of laboratory drone with cold gas thrusters based on genetic algorithm |
| topic | modeling drone design parameters estimation linear least squares error algorithm optimization algorithm |
| url | https://modelling.semnan.ac.ir/article_8361_62815c62be6f342d40dc113fe3c57b6e.pdf |
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