Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm
This paper presents a novel framework for the design of a low altitude long endurance solar-powered UAV for multiple-day flight. The genetic algorithm is used to optimize wing airfoil using CST parameterization, along with wing, horizontal and vertical tail geometry. The mass estimation model presen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/8/8/228 |
| _version_ | 1797525029679792128 |
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| author | Abu Bakar Li Ke Haobo Liu Ziqi Xu Dongsheng Wen |
| author_facet | Abu Bakar Li Ke Haobo Liu Ziqi Xu Dongsheng Wen |
| author_sort | Abu Bakar |
| collection | DOAJ |
| description | This paper presents a novel framework for the design of a low altitude long endurance solar-powered UAV for multiple-day flight. The genetic algorithm is used to optimize wing airfoil using CST parameterization, along with wing, horizontal and vertical tail geometry. The mass estimation model presented in this paper is based on structural layout, design and available materials used in the fabrication of similar UAVs. This model also caters for additional weight due to the change in wing airfoil. The configuration is optimized for a user-defined static margin, thereby incorporating static stability in the optimization. Longitudinal and lateral control systems are developed for the optimized configuration using the inner–outer loop strategy with an LQR and PID controller, respectively. A six degree-of-freedom nonlinear simulation is performed for the validation of the proposed control scheme. The results of nonlinear simulations are in good agreement with static analysis, validating the complete design process. |
| first_indexed | 2024-03-10T09:06:02Z |
| format | Article |
| id | doaj.art-273dd1e96b654d489e4d5f0b574c7614 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T09:06:02Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-273dd1e96b654d489e4d5f0b574c76142023-11-22T06:22:08ZengMDPI AGAerospace2226-43102021-08-018822810.3390/aerospace8080228Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic AlgorithmAbu Bakar0Li Ke1Haobo Liu2Ziqi Xu3Dongsheng Wen4National Key Laboratory of Human Machine and Environment Engineering, School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, ChinaNational Key Laboratory of Human Machine and Environment Engineering, School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, ChinaNational Key Laboratory of Human Machine and Environment Engineering, School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, ChinaNational Key Laboratory of Human Machine and Environment Engineering, School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, ChinaNational Key Laboratory of Human Machine and Environment Engineering, School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, ChinaThis paper presents a novel framework for the design of a low altitude long endurance solar-powered UAV for multiple-day flight. The genetic algorithm is used to optimize wing airfoil using CST parameterization, along with wing, horizontal and vertical tail geometry. The mass estimation model presented in this paper is based on structural layout, design and available materials used in the fabrication of similar UAVs. This model also caters for additional weight due to the change in wing airfoil. The configuration is optimized for a user-defined static margin, thereby incorporating static stability in the optimization. Longitudinal and lateral control systems are developed for the optimized configuration using the inner–outer loop strategy with an LQR and PID controller, respectively. A six degree-of-freedom nonlinear simulation is performed for the validation of the proposed control scheme. The results of nonlinear simulations are in good agreement with static analysis, validating the complete design process.https://www.mdpi.com/2226-4310/8/8/228solar-powered UAV (unmanned aerial vehicle)genetic algorithmoptimizationLQR (linear quadratic regulator)PID (proportional integral derivative) |
| spellingShingle | Abu Bakar Li Ke Haobo Liu Ziqi Xu Dongsheng Wen Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm Aerospace solar-powered UAV (unmanned aerial vehicle) genetic algorithm optimization LQR (linear quadratic regulator) PID (proportional integral derivative) |
| title | Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm |
| title_full | Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm |
| title_fullStr | Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm |
| title_full_unstemmed | Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm |
| title_short | Design of Low Altitude Long Endurance Solar-Powered UAV Using Genetic Algorithm |
| title_sort | design of low altitude long endurance solar powered uav using genetic algorithm |
| topic | solar-powered UAV (unmanned aerial vehicle) genetic algorithm optimization LQR (linear quadratic regulator) PID (proportional integral derivative) |
| url | https://www.mdpi.com/2226-4310/8/8/228 |
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