11.12.2012 Views

Chapter 5 Robust Performance Tailoring with Tuning - SSL - MIT

Chapter 5 Robust Performance Tailoring with Tuning - SSL - MIT

Chapter 5 Robust Performance Tailoring with Tuning - SSL - MIT

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

mance requirements are met on-orbit when high-uncertainty models and simulations<br />

are depended upon for launch decisions is addressed.<br />

1.2.2 Approach<br />

The approach taken in this thesis is a formal synthesis of robust structural design<br />

and hardware tuning. The burden of uncertainty management is shared by both<br />

simulation and hardware. Instead of mitigating uncertainty through robust design<br />

or excessive modeling and component prototyping, it is managed by optimizing for<br />

a mix of performance, robustness and tunability. Such a scheme addresses the prob-<br />

lem of performance prediction accuracy vs. design flexibility by choosing parameters<br />

that can be tuned during component testing, system integration, or on-orbit, to af-<br />

fect the system performance thereby increasing hardware design flexibility. If the<br />

system is designed such that these parameters have enough authority to guarantee<br />

that performance requirements can be met regardless of where the actual system lies<br />

in the uncertainty space, then the resulting system is significantly more likely to be<br />

successful.<br />

Consider the effect of such a design methodology on the scenarios in Table 1.1.<br />

The simulations are augmented <strong>with</strong> a formal pre-launch and on-orbit tuning pro-<br />

cess so that the predictions only need to meet performance <strong>with</strong>in specified error<br />

bounds. If the system is guaranteed to be “tunable” <strong>with</strong>in these bounds then the<br />

scenarios are as shown in Table 1.2. The simulation prediction metric has changed<br />

from “good” or “bad” to “meet requirement” or “<strong>with</strong>in bound.” This distinction is<br />

made because if the prediction does not meet requirements, but is <strong>with</strong>in the tunable<br />

range then launch is still the correct action. Note that all four situations lead to<br />

launch and mission success. The dependence on simulation is reduced by allowing for<br />

on-orbit adjustments and the requirements for launch are relaxed to allow for model<br />

uncertainty resulting in a greater probability of mission success.<br />

When discussing the design methodology throughout the thesis the following ter-<br />

minology is used. The term <strong>Performance</strong> <strong>Tailoring</strong> (PT) describes the process of<br />

structural design for performance only, i.e. structural optimization <strong>with</strong>out consid-<br />

27

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!