An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation
This research developed a pressure-based thrust vectoring angle estimation method for fluidic thrust vectoring nozzles. This method can accurately estimate the real-time in-flight thrust vectoring angle using only wall pressure information on the inner surface of the nozzle. We proposed an algorithm...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/10/12/978 |
| _version_ | 1797382458902052864 |
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| author | Nanxing Shi Yunsong Gu Tingting Wu Yuhang Zhou Yi Wang Shuai Deng |
| author_facet | Nanxing Shi Yunsong Gu Tingting Wu Yuhang Zhou Yi Wang Shuai Deng |
| author_sort | Nanxing Shi |
| collection | DOAJ |
| description | This research developed a pressure-based thrust vectoring angle estimation method for fluidic thrust vectoring nozzles. This method can accurately estimate the real-time in-flight thrust vectoring angle using only wall pressure information on the inner surface of the nozzle. We proposed an algorithm to calculate the thrust vectoring angle from the wall pressure inside the nozzle. Non-dominated sorting genetic algorithm II was applied to find the optimal sensor arrays and reduce the wall pressure sensor quantity. Synchronous force and wall pressure measurement experiments were carried out to verify the accuracy and real-time response of the pressure-based thrust vectoring angle estimation method. The results showed that accurate estimation of the thrust vectoring angle can be achieved with a minimum of three pressure sensors. The pressure-based thrust vectoring angle estimation method proposed in this study has a good prospect for engineering applications; it is capable of accurate real-time in-flight monitoring of the thrust vectoring angle. This method is important and indispensable for the closed-loop feedback control and aircraft attitude control of fluidic thrust vectoring control technology. |
| first_indexed | 2024-03-08T21:05:41Z |
| format | Article |
| id | doaj.art-9594ca9e96be4206a2dd82a35201b5b6 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-08T21:05:41Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-9594ca9e96be4206a2dd82a35201b5b62023-12-22T13:45:05ZengMDPI AGAerospace2226-43102023-11-01101297810.3390/aerospace10120978An Optimized Pressure-Based Method for Thrust Vectoring Angle EstimationNanxing Shi0Yunsong Gu1Tingting Wu2Yuhang Zhou3Yi Wang4Shuai Deng5Key Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaKey Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaKey Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaKey Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaKey Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaKey Laboratory of Unsteady Aerodynamics and Flow Control, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, ChinaThis research developed a pressure-based thrust vectoring angle estimation method for fluidic thrust vectoring nozzles. This method can accurately estimate the real-time in-flight thrust vectoring angle using only wall pressure information on the inner surface of the nozzle. We proposed an algorithm to calculate the thrust vectoring angle from the wall pressure inside the nozzle. Non-dominated sorting genetic algorithm II was applied to find the optimal sensor arrays and reduce the wall pressure sensor quantity. Synchronous force and wall pressure measurement experiments were carried out to verify the accuracy and real-time response of the pressure-based thrust vectoring angle estimation method. The results showed that accurate estimation of the thrust vectoring angle can be achieved with a minimum of three pressure sensors. The pressure-based thrust vectoring angle estimation method proposed in this study has a good prospect for engineering applications; it is capable of accurate real-time in-flight monitoring of the thrust vectoring angle. This method is important and indispensable for the closed-loop feedback control and aircraft attitude control of fluidic thrust vectoring control technology.https://www.mdpi.com/2226-4310/10/12/978passive fluidic thrust vectoring controlthrust vectoring angle estimationgenetic algorithm optimizationpressure distribution reconstructionnon-dominated sorting genetic algorithm II |
| spellingShingle | Nanxing Shi Yunsong Gu Tingting Wu Yuhang Zhou Yi Wang Shuai Deng An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation Aerospace passive fluidic thrust vectoring control thrust vectoring angle estimation genetic algorithm optimization pressure distribution reconstruction non-dominated sorting genetic algorithm II |
| title | An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation |
| title_full | An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation |
| title_fullStr | An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation |
| title_full_unstemmed | An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation |
| title_short | An Optimized Pressure-Based Method for Thrust Vectoring Angle Estimation |
| title_sort | optimized pressure based method for thrust vectoring angle estimation |
| topic | passive fluidic thrust vectoring control thrust vectoring angle estimation genetic algorithm optimization pressure distribution reconstruction non-dominated sorting genetic algorithm II |
| url | https://www.mdpi.com/2226-4310/10/12/978 |
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