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guidance, flight mechanics and trajectory optimization

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thus, verifying that the solution is a straight line with slope given by<br />

Eq. (2.4.34).<br />

2.4.4 Additional Properties of the Optimal Solution<br />

The solution to the problem of minimizing the integral<br />

(2.4.35)<br />

is usually developed by means of the Calculus of Variations with the<br />

development consisting of the establishment of certain necessary conditions<br />

which the optimal solution must satisfy. In this section, it will be shown<br />

that four of these necessary conditions resulting from an application of<br />

the Calculus of Variations can also be derived through Dynamic Programming.<br />

In the previous sections it was shown that the function R(x,f)defined<br />

by<br />

% fi<br />

R(Z,y) = hh’<br />

Y’<br />

f +-tz,qc,y*)d$<br />

‘9%<br />

(2.4.36)<br />

satisfies the partial differential equation<br />

flx,y,y’) + g f akz<br />

’ = 0 (2.4.3-i’)<br />

Setting the first derivative with respect to .# ' to zero in this equation<br />

provides the additional condition<br />

Also, if y' is to minimize the bracketed quantity in (2.4.37), then the<br />

second derivative<br />

or equal to zero.<br />

(2.4.38)<br />

of this quantity with respect to f" must be greater than<br />

Hence the condition,<br />

(2.4.39)<br />

must be satisfied along the optimai solution. This condition is referred<br />

to as the Legendre condition in the Calculus of Variations.<br />

A slightly stronger condition than that in (2.4.39) can be developed<br />

by letting u& denote the optimal solution <strong>and</strong> Y’ denote any other<br />

solution. Then from (2.4.37)<br />

aR aR ,<br />

69

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