Method and system for using response-surface methodologies to determine optimal tuning parameters for complex simulators

Abstract

A method and system for providing optimal tuning for complex simulators. The method and system include initially building at least one RSM model having input and output terminals. Then there is provided a simulation-free optimization function by constructing an objective function from the outputs at the output terminals of the at least one RSM model and experimental data. The objective function is optimized in an optimizer and the optimized objective function is fed to the input terminal of the RSM. Building of at least one RSM model includes establishing a range for the simulation, running a simulation experiment for the designed experiment, extracting relevant data from said experiment and building the RSM model from the extracted relevant data. The step of running a simulation experiment comprises the step of running a DOE/Opt operation. The objective function is, for example, the square root of the sum of the squares at all of the differences between the target values and the observed values at all points being investigated. The optimizing in the optimizer is preferably a gain function which adjusts the parameters to the input based upon the error signal to minimize the error signal.