TY - GEN
T1 - Evaluation of temporal spacing errors associated with interval management algorithms
AU - Bai, Xiaoli
AU - Vaddi, Sai
AU - Mulfinger, Daniel
PY - 2014
Y1 - 2014
N2 - This paper seeks to characterize the temporal spacing errors resulting from the use of Interval Management (IM) algorithms. The focus of the current paper is IM concepts and algorithms that realize a specified temporal spacing between a Target aircraft and an Ownship aircraft at the runway threshold. The paper presents an IM algorithm consisting of the following four modules: (i) Target-Landing-Time Estimation Module, (ii) Ownship-Landing-Time Estimation Module, (iii) Ownship Speed Command Computation Module, and (iv) Ownship Thrust Command Computation Module. The overall guidance module is evaluated on a simulation that models aircraft point-mass dynamics, bank-angle auto-pilot dynamics, pitch-axis auto-pilot dynamics, and engine lag dynamics. The simulation environment also consists of actual atmospheric forecasts and realistic spatio-temporally correlated wind uncertainty models. Results obtained from single case simulation as well as Monte-Carlo simulations are presented in the paper. The modeled scenario consisted of an A320 Target equipped with "Lateral Navigation"/"Vertical Navigation" (LNAV/VNAV) capabilities followed by an A320 Ownship equipped with the IM algorithm. Both aircraft fly the BIGSUR route to SFO airport using a RAP-13 1-hr wind forecast. 500 Monte-Carlo simulations were conducted with realistic wind uncertainty models. The IM algorithm for this case is seen to have a 90% probability landing time error range of 5.9 seconds, compared to the no-IM solution, which has a 90% probability landing time error range of 33.4 seconds.
AB - This paper seeks to characterize the temporal spacing errors resulting from the use of Interval Management (IM) algorithms. The focus of the current paper is IM concepts and algorithms that realize a specified temporal spacing between a Target aircraft and an Ownship aircraft at the runway threshold. The paper presents an IM algorithm consisting of the following four modules: (i) Target-Landing-Time Estimation Module, (ii) Ownship-Landing-Time Estimation Module, (iii) Ownship Speed Command Computation Module, and (iv) Ownship Thrust Command Computation Module. The overall guidance module is evaluated on a simulation that models aircraft point-mass dynamics, bank-angle auto-pilot dynamics, pitch-axis auto-pilot dynamics, and engine lag dynamics. The simulation environment also consists of actual atmospheric forecasts and realistic spatio-temporally correlated wind uncertainty models. Results obtained from single case simulation as well as Monte-Carlo simulations are presented in the paper. The modeled scenario consisted of an A320 Target equipped with "Lateral Navigation"/"Vertical Navigation" (LNAV/VNAV) capabilities followed by an A320 Ownship equipped with the IM algorithm. Both aircraft fly the BIGSUR route to SFO airport using a RAP-13 1-hr wind forecast. 500 Monte-Carlo simulations were conducted with realistic wind uncertainty models. The IM algorithm for this case is seen to have a 90% probability landing time error range of 5.9 seconds, compared to the no-IM solution, which has a 90% probability landing time error range of 33.4 seconds.
UR - http://www.scopus.com/inward/record.url?scp=85088758932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088758932&partnerID=8YFLogxK
U2 - https://doi.org/10.2514/6.2014-3154
DO - https://doi.org/10.2514/6.2014-3154
M3 - Conference contribution
SN - 9781624102820
T3 - AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference
BT - AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference
PB - American Institute of Aeronautics and Astronautics Inc.
T2 - AIAA AVIATION 2014 -14th AIAA Aviation Technology, Integration, and Operations Conference 2014
Y2 - 16 June 2014 through 20 June 2014
ER -