Drive axis controller optimization of production machines based on dynamic models

Abstract The paper deals with the creation and implementation of a methodology for optimizing parameters cascade control machine tool axis drives. first part presents identification dynamic model based on experimental data from measuring dynamics. second describes controller model, selection optimization objective functions, constraint conditions. controllers is tuned by simulation using identified state-space model. Subsequently, procedure implemented found are used real linear different loads. proposed complex horizontal proved advantage simultaneous tuning all methods. strategy solves problem mutual interaction law disabling effective usability gradual sequential tuning. was developed speed loop, which usually most difficult due to close properties mechanics. whole also applicable position current loop.