Hybrid Air Data System Architecture: Accuracy Improvement on an Existing Ads Architecture
摘要
An aircraft's Air Data System (ADS) is essential for a number of reasons, such as situational awareness and safety. To compute the primary air data, namely pressures and flow angles, the ADS architecture has historically relied on physical sensors mounted on the aircraft's exterior. A lot of research has been done on the possibility of using synthetic reconstruction of air data as a substitute for these sensors. Only a small number of those examples, nevertheless, made it to the certification stage to be incorporated into an aircraft. This paper provides an overview of the design, integration and test of a Hybrid ADS architecture that relies on both sensors and synthetic estimator specifically designed to solve a calibration problem occurring during high AOA maneuvers on an already existing architecture. The avionics, safety, flight control, and aerodynamics departments worked collectively to implement this system in a multidisciplinary framework. In a laboratory environment, the suggested design and integration solution have been verified. Flight testing has been utilized to confirm the ADS's functionality, validate the systems and yield data for future enhancements. The goal of the entire procedure is to give the certification authority the compliance proof and to attain the required accuracy throughout the envelope.