A synthetic airdata system

F. Adhika Pradipta Lie, Demoz Gebre Egziabher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A method for estimating airspeed, angle of attack, and sideslip without using conventional airdata sensors or pitot-static system is presented. The method relies on measurements from GPS, inertial measurement unit (IMU) and low-fidelity model of the aircraft dynamics which are fused using two, cascaded Extended Kalman Filters. The first filter uses information from the IMU and GPS to estimate the aircraft's absolute velocity and attitude. These estimates are used as the measurement updates for the second filter. These measurements along with the aircraft dynamics model are used to estimate airspeed, angle of attack and sideslip. Issues associated with using correlated estimates from the first filter as measurements in the second filter are discussed. Simulation and flight test results of the method are presented. Simulation results show that airspeed estimation error is less than 1 m/s RMS. The nominal error from the flight test on airspeed, angle of attack and sideslip are less than 2.5 m/s, 2 degrees, and 1 degree, respectively. Factors that affect the accuracy of the solution are discussed.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2012
StatePublished - Dec 1 2012
EventAIAA Guidance, Navigation, and Control Conference 2012 - Minneapolis, MN, United States
Duration: Aug 13 2012Aug 16 2012

Other

OtherAIAA Guidance, Navigation, and Control Conference 2012
CountryUnited States
CityMinneapolis, MN
Period8/13/128/16/12

Fingerprint Dive into the research topics of 'A synthetic airdata system'. Together they form a unique fingerprint.

  • Cite this

    Adhika Pradipta Lie, F., & Gebre Egziabher, D. (2012). A synthetic airdata system. In AIAA Guidance, Navigation, and Control Conference 2012