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ABSTRACT Improving Gas Turbine Engine Control System Component Optimization by Delaying Decisions by Craig T. Stambaugh Sr. Submitted to the System Design and Management Program on May 03, 2003 in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management This work provides a comparative analysis of the current gas turbine engine control system development process and a proposed framework. The current process prescribes a development process in which control system component design is performed as the culmination of multiple layer system decompositions. Due to the complexity of gas turbine engines (particularly military) and associated uncertainty of several key attributes, control system design requirements must include a significant degree of conservatism to prevent any operational limitations for initial development engines. The proposed framework investigates the risks and benefits of providing "boilerplate" test apparatus for certain control system components on initial development engines to allow the acquisition of key engine characteristics such as actuation system loads. The architecture of these test components was defined by identifying the design requirements containing significant uncertainty and providing a range of hardware options that could be combined in modular fashion to maximize flexibility. With design requirement uncertainty significantly reduced, final "flight configuration" designs could then be released with high confidence of a truly optimized design. Another important part of this framework was an approach aimed at identifying when to apply the proposed process since design requirement uncertainty varies significantly from component to component. To reduce the engineering lead-time associated with finding an optimum control system solution once engine data is available, a linear optimization modeling approach was defined, which allowed key design features such as actuator piston size and pump performance to be traded against important component attributes such as product cost, weight, and heat generation. Thesis Supervisor: Dr. Daniel Whitney Senior Research Scientist Center for Technology, Policy, and Industrial Development 3PDF Image | Improving Gas Turbine Engine Control System
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