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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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