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
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Abstract<br />
Next-generation space telescopes in NASA’s Origins missions require use of advanced<br />
imaging techniques to achieve high optical performance <strong>with</strong> limited launch mass.<br />
Structurally-connected Michelson interferometers meet these demands, but pose specific<br />
challenges in the areas of system dynamics and controls, uncertainty management<br />
and testing. The telescope optics must meet stringent positional tolerances in the<br />
presence of environmental and on-board disturbances, resulting in heavy demands<br />
on structural dynamics and control. In addition, fully integrated system tests are<br />
cost-prohibitive due to the size and flexibility of the system coupled <strong>with</strong> the severe<br />
differences between the on-orbit and ground testing environments. As a result, the<br />
success of these missions relies heavily on the accuracy of the structural and control<br />
models used to predict system performance.<br />
In this thesis, dynamic tailoring and tuning are applied to the design of precision<br />
optical space structures to meet aggressive performance requirements in the presence<br />
of parametric model uncertainty. <strong>Tailoring</strong> refers to changes made to the system during<br />
the design, and tuning refers to adjustments on the physical hardware. Design<br />
optimizations aimed at improving both performance and robustness are considered<br />
for application to this problem. It is shown that when uncertainty is high and performance<br />
requirements are aggressive, existing robust design techniques do not always<br />
guarantee mission success. Therefore, dynamic tuning is considered to take advantage<br />
of the accuracy of hardware performance data to guide system adjustments to<br />
meet requirements. A range of hardware tuning techniques for practical implementation<br />
are presented, and a hybrid model updating and tuning methodology using<br />
isoperformance analysis is developed.<br />
It is shown that dynamic tuning can enhance the performance of a system designed<br />
under high levels of uncertainty. Therefore, robust design is extended to include<br />
tuning elements that allow for uncertainty compensation after the structure is built.<br />
The new methodology, <strong>Robust</strong> <strong>Performance</strong> <strong>Tailoring</strong> for <strong>Tuning</strong> creates a design<br />
that is both robust to uncertainty and has significant tuning authority to allow for<br />
hardware adjustments. The design methodology is particularly well-suited for highperformance,<br />
high-risk missions and improves existing levels of mission confidence in<br />
the absence of a fully integrated system test prior to launch. In the early stages of the<br />
mission the design is tailored for performance, robustness and tuning authority. The<br />
incorporation of carefully chosen tuning elements guarantees that, given an accurate<br />
uncertainty model, the physical structure is tunable so that system performance can<br />
be brought <strong>with</strong>in requirements. It is shown that tailoring for tuning further extends<br />
the level of parametric uncertainty that can be tolerated at a given performance<br />
requirement beyond that of sequential tailoring and tuning, and is the only design<br />
methodology considered that is consistently successful for all simulated hardware<br />
realizations.<br />
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