Propagation of Initial Mass Uncertainty in Aircraft Cruise Flight

The propagation of initial mass uncertainty in cruise flight is studied. Two cruise conditions are analyzed: one with given cruise fuel load and the other with given cruise range. Two different distributions of initial mass are considered: uniform and gamma type. The generalized polynomial chaos method is used to study the evolution of mean and variance of the aircraft mass. To compute the mass distribution function as a function of time, two approximate methods are developed. These methods are also applied to study the distribution functions of the flight time (in the case of given fuel load) and of the fuel consumption (in the case of given range). The dynamics of mass evolution in cruise flight is defined by a nonlinear equation, which can be solved analytically; this exact solution is used to assess the accuracy of the proposed methods. Comparison of the numerical results with the exact analytical solutions shows an excellent agreement in all cases, hence verifying the methods developed in this work.

[1]  R. Bhattacharya,et al.  Nonlinear Estimation of Hypersonic State Trajectories in Bayesian Framework with Polynomial Chaos , 2010 .

[2]  J L Stollery Flight Mechanics of High Performance Aircraft , 1997 .

[3]  Vu Duong,et al.  Trajectory-based Air Traffic Management (TB-ATM) under Weather Uncertainty , 2001 .

[4]  George C. Canavos,et al.  Applied probability and statistical methods , 1984 .

[5]  R. Askey,et al.  Some basic hypergeometric orthogonal polynomials that generalize Jacobi polynomials , 1985 .

[6]  W. Schoutens Stochastic processes and orthogonal polynomials , 2000 .

[7]  Yu-Heng Chang,et al.  Air Traffic Flow Management in the Presence of Uncertainty , 2009 .

[8]  Raktim Bhattacharya,et al.  Optimal Trajectory Generation With Probabilistic System Uncertainty Using Polynomial Chaos , 2011 .

[9]  Wim Schoutens Birth and Death Processes, Random Walks, and Orthogonal Polynomials , 2000 .

[10]  Jinwhan Kim,et al.  Air-Traffic Uncertainty Models for Queuing Analysis , 2009 .

[11]  Dongbin Xiu,et al.  The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations , 2002, SIAM J. Sci. Comput..

[12]  M. A. Chaudhry,et al.  On a Class of Incomplete Gamma Functions with Applications , 2001 .

[13]  J. Hale,et al.  Ordinary Differential Equations , 2019, Fundamentals of Numerical Mathematics for Physicists and Engineers.

[14]  Abhishek Halder,et al.  Dispersion Analysis in Hypersonic Flight During Planetary Entry Using Stochastic Liouville Equation , 2011 .

[15]  Q. Maggie Zheng,et al.  Modeling Wind Uncertainties for Stochastic Trajectory Synthesis , 2011 .

[16]  N. Wiener The Homogeneous Chaos , 1938 .

[17]  Leonard A. Wojcik,et al.  Predictability and Uncertainty in Air Traffic Flow Management , 2003 .

[18]  Habib N. Najm,et al.  Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes , 2005, SIAM J. Sci. Comput..

[19]  Raktim Bhattacharya,et al.  Polynomial Chaos-Based Analysis of Probabilistic Uncertainty in Hypersonic Flight Dynamics , 2010 .