Application of GNSS/INS and an Optical Sensor for Determining Airplane Takeoff and Landing Performance on a Grassy Airfield †

The performance of a PZL 104 Wilga 35A airplane was determined and analyzed in this work. Takeoff and landing distances were determined by means of two different methods: one which utilized a Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) sensor and another in which airplane ground speed was measured with the use of an optical non-contact sensor. Based on the airfield measurements, takeoff and landing distances as well as rolling resistance coefficients were determined for the used airplane on a grassy runway at the Radawiec airfield, located near Lublin, southeast Poland. The study was part of the “GARFIELD” project that is expected to deliver an online information system on grassy airfield conditions. It was concluded that both sensors were suitable for the aimed research. The results obtained in this study showed the effects of high grass upon the takeoff and landing performances of the test airplane. Also, the two methods were compared against each other, and the final results were compared to calculations of ground distances by means of the chosen analytical models.

[1]  Ervin Hegedus,et al.  Drag Coefficients of Locomotion Over Viscous Soils , 1960 .

[3]  Snorri Gudmundsson,et al.  General Aviation Aircraft Design: Applied Methods and Procedures , 2013 .

[4]  Antonio Filippone,et al.  Flight Performance of Fixed- and Rotary-Wing Aircraft , 2006 .

[5]  B. M. Crenshaw.  Soil/Wheel Interaction at High Speed , 1972 .

[6]  Darrol Stinton,et al.  Flying qualities and flight testing of the airplane , 1996 .

[7]  Jerzy Józwik,et al.  Application of the TDR Soil Moisture Sensor for Terramechanical Research † , 2019, Sensors.

[8]  Jaroslaw Pytka.  Identification of Rolling Resistance Coefficients for Aircraft Tires on Unsurfaced Airfields , 2014 .

[9]  Mirko Reguzzoni,et al.  Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys , 2017, Sensors.

[11]  Jaroslaw Pytka,et al.  Advantages of all-season versus snow tyres for off-road traction and soil stresses , 2006 .

[12]  J. A. Pytka.  Semiempirical model of a wheel-soil system , 2010 .

[13]  Eberhard Jochem,et al.  The Conceptual Approach , 2009 .

[14]  Gerard W. H. van Es.  Method for Predicting the Rolling Resistance of Aircraft Tires in Dry Snow , 1999 .

[15]  A. Gibbesch.  Reifen-Boden Interaktion von Flugzeugen auf nachgiebigen Landebahnen bei hohen Geschwindigkeiten , 2003 .

[16]  Jerzy Józwik,et al.  Wheel dynamometer system for aircraft landing gear testing , 2019 .

[17]  Soil inertia in wheel-soil interaction , 1973 .

[18]  Daniel P. Raymer,et al.  Aircraft Design: A Conceptual Approach , 1989 .

[19]  Wendy L. Wieder,et al.  Predicting California Bearing Ratio from Trafficability Cone Index Values , 2008 .