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ON QUALITY DESIGN AND SIMULATION REDUCTION
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27 experiments altitude analysis of variance angle of attack ANOVA approximately array based simulation azimuth calculated Chapter columns compromise DSP control factors coordinate system dispersed parameters drag coefficient DSIDES dynamic pressure entry interface Equation estimate evaluate factor levels Figure flight path angle geodetic latitude goals identify implemented initial velocity input landing position Latin Square LifeSat model LifeSat space vehicle LifeSat vehicle longitude maximum acceleration mean on target mean value method Mistree Monte Carlo simulation noise factors nominal flight normally distributed number of experiments obtain orthogonal array based orthogonal array L9 orthogonal array simulations output performance parameters Phadke polar coordinate system quality characteristics quality loss random number reference area represents sample scenarios shown in Table signal-to-noise ratio standard deviation statistical SUBROUTINE sum of squares system performance Taguchi target value Taylor series technique three levels tolerances trajectory simulation variables variation vector vehicle mass Velocity m/s