Trajectory Optimization Using Adjoint Method and Chebyshev Polynomial Approximation for Minimizing Fuel Consumption During Climb
Author(s) -
Nhan T. Nguyen,
Greg Hornby
Publication year - 2013
Publication title -
aiaa infotech@aerospace (i@a) conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2013-5142
Subject(s) - climb , chebyshev polynomials , mathematical optimization , trajectory , fuel efficiency , chebyshev filter , approximation theory , polynomial , computer science , trajectory optimization , mathematics , chebyshev nodes , engineering , mathematical analysis , automotive engineering , aerospace engineering , physics , optimal control , astronomy
This paper describes two methods of trajectory optimization to obtain an optimal trajectory of minimum-fuel- to-climb for an aircraft. The first method is based on the adjoint method, and the second method is based on a direct trajectory optimization method using a Chebyshev polynomial approximation and cubic spine approximation. The approximate optimal trajectory will be compared with the adjoint-based optimal trajectory which is considered as the true optimal solution of the trajectory optimization problem. The adjoint-based optimization problem leads to a singular optimal control solution which results in a bang-singular-bang optimal control.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom