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Efficient Convexification of Flight Path Optimization Problems

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Variational Calculus, Optimal Control and Applications

Part of the book series: International Series of Numerical Mathematics ((ISNM,volume 124))

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Abstract

A problem in the optimization of flight paths concerns the modelling of the thrust force direction. This problem is addressed by considering various mathematical modellings of thrust force directions in a unified approach. When modelling the thrust force direction which is basically related to the vehicle attitude as a linear or non-linear function of angle of attack, higher order optimality conditions are generally not met for interior thrust settings. A convexification technique is developed for efficiently computing a solution. There may be interior arcs as the limiting case of chattering arcs which concern both controls thrust setting and angle of attack of the original system. A numerical example of hypersonic range flight is presented.

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Abbreviations

C D :

drag coefficient

C L :

lift coefficient

D :

drag

g :

gravity acceleration

H :

Hamiltonian

h :

altitude

J :

performance criterion

L :

lift

M :

Mach number

m :

mass

m f :

fuel mass consumed

r e :

radius of the Earth

S :

reference area

S :

switching function

s :

range

T :

thrust

t :

time

t f :

final time

u :

control variables vector

V :

speed

ϰ :

state variables vector

α :

angle of attack

α T :

final time

γ :

flight path angle

δ T :

throttle setting

ε T :

thrust inclination angle (relative to α)

ζ :

control variable of modified system

λ :

adjoint variables vector

ρ :

atmopheric density

σ :

specific fuel consumption

Φ :

Mayer form of performance criterion

ω e :

angular velocity of the Earth

References

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© 1998 Springer Basel AG

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Sachs, G., Mehlhorn, R., Dinkelmann, M. (1998). Efficient Convexification of Flight Path Optimization Problems. In: Schmidt, W.H., Heier, K., Bittner, L., Bulirsch, R. (eds) Variational Calculus, Optimal Control and Applications. International Series of Numerical Mathematics, vol 124. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8802-8_32

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  • DOI: https://doi.org/10.1007/978-3-0348-8802-8_32

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9780-8

  • Online ISBN: 978-3-0348-8802-8

  • eBook Packages: Springer Book Archive

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