Abstract
Analytical procedures for a-priori assessment of key control variables in linear multi-input multi-output dynamic systems are developed and evaluated. These procedures result in explicit, quantitative measures of control influence which allow a control designer to assess the relative importance of all control variables prior to actual feedback control design. In this manner the designer can select for dynamic modulation those controls which have the strongest influence on system dynamic response. The developed methodology is applied to a detailed fifth-order F100 gas turbine engine model. Predicted key control variables are compared with actual key control variables as determined through physical insight into system dynamics and operating experience.
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