Preliminary results from an airdata enhancement algorithm with application to high-angle-of-attack flight

摘要: A technique was developed to improve the fidelity of airdata measurements during dynamic maneuvering. This is particularly useful for measured flight at high angular rates and angles attack. To support this research, tests using F-18 alpha research vehicle (HARV) were conducted NASA Ames Research Center, Dryden Flight Facility. Kalman filter used combine information from airdata, linear accelerometers, rate gyros, attitude gyros determine better estimates quantities such as angle attack, sideslip, airspeed, altitude. The state observation equations by are briefly it shown how measurement covariance matrices determined data. data show results these compared an independent source. applicable both postflight real-time processing