Hierarchical dynamic optimization for induction motors regulation

Abstract

A hierarchical dynamic optimization technique is developed to tentatively regulate the performance of non-linear induction motor systems. The decomposition process of the non-linear model is achieved using a new method called the parameters-transformation method. Manipulation of the interaction patterns is performed via a predictive-type algorithmic procedure. The developed computation structure has the features of relatively simple calculations at the lower level, minimal storage requirements at the higher level, moderate information processing between hierarchical levels and guaranteed convergence properties.