Abstract
A preprocessor technique for performing lumped component system analysis is presented. By employing simple preprocessor statements, system configurations, constraints, and objective functions can easily be established and analyzed. Use is made of M.J.D. Powell's hybrid equation solver and his sequential quadratic programming method for solving constrained optimization problems. The use of recursive calling capability in both equation solver and optimizer makes possible a fast and efficient general methodology for decomposition and analysis of systems. By retaining the build-up Jacobians and Hessians of the constraints and objective functions, and effective means of reducing computing time is developed during parameter studies. Also presented is a collection of simple first-order models used in open-cycle MHD (OCMHD) applications. Examples of simple system configurations and their analysis are included.
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