Air Data Estimation by Fusing Navigation System and Flight Control System
| العنوان: | Air Data Estimation by Fusing Navigation System and Flight Control System |
|---|---|
| المؤلفون: | Jianye Liu, Chen Lu, Rongbing Li, Lei Tingwan |
| المصدر: | Journal of Navigation. 71:1231-1246 |
| بيانات النشر: | Cambridge University Press (CUP), 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 020301 aerospace & aeronautics, 0209 industrial biotechnology, Computer science, Airspeed, Navigation system, Ocean Engineering, Angular velocity, 02 engineering and technology, Aerodynamics, Kalman filter, Oceanography, Wind speed, Constant linear velocity, Extended Kalman filter, 020901 industrial engineering & automation, 0203 mechanical engineering, Control theory, Physics::Atmospheric and Oceanic Physics |
| الوصف: | A novel synthetic air data estimation method without using air data sensors is presented, and the method only relies on the information from the Navigation System (NS) and Flight Control System (FCS). The aircraft's aerodynamic model is also required to make a connection between the FCS control parameters and the NS measurements. The airspeed, angle of attack and sideslip, angular velocity and wind speed are defined as state vectors, and state equations are established through the aircraft's aerodynamic model and dynamics. Linear velocity and angular velocity provided by the navigation system are considered as the measurement vector. To deal with variable wind fields, a novel Initialised Three-step Extended Kalman Filter (ITEKF), which considers the wind speed as an unknown input, is developed to track the variation of wind speed. Simulation results based on a Generic Hypersonic Vehicle (GHV) model are presented and compared with an existing method. Factors affecting the method's accuracy include the navigation system accuracy and the aerodynamic model error, are also discussed. |
| تدمد: | 1469-7785 0373-4633 |
| DOI: | 10.1017/s037346331800022x |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::31c9218f930bcc151f3fc7366be127fa https://doi.org/10.1017/s037346331800022x |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........31c9218f930bcc151f3fc7366be127fa |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14697785 03734633 |
|---|---|
| DOI: | 10.1017/s037346331800022x |