Study And Application Of Fuzzy Rules Models For Inverse Dynamics Systems

Inverse dynamics of thermodynamic system is a new research area. It has already become a pivotal problem and basal problem in many research and application area. And building the inverse kinetic process model of thermodynamic system is a key problem for thermodynamic system inverse dynamics research and application.As an important component part of thermodynamic system inverse dynamics research,the two main parts of this text are the modeling method and the application research of thermodynamic system inverse dynamics based on fuzzy rules. We hope that a new method of research on the thermodynamic system inverse dynamics will be presented and the inverse dynamics of complex system will develop through above research. Furthermore, this paper discusses the fuzzy control method of thermodynamic process based on thermodynamic system inverse dynamics, develops and perfects fuzzy controller design theory, and exploits a new application area of thermodynamic system inverse dynamics.Aiming at the familiar SISO thermodynamic system, the general structural style for inverse dynamics fuzzy rules model is presented. To the complicated MIMO system, this paper takes the double inputs double outputs system for example. Starting with direct fuzzy rules model, there are four different conditions to be discussed according to different characteristic of object. Furthermore, the structure of the inverse fuzzy rules model is identified by entropy-based clustering method and competitive learning algorithms, the conclusion parameters of the inverse fuzzy rules model are identified by recursion least square method. Adaptive fuzzy reasoning method is used for reasoning, when the input region is divided less than the input space.Inverse dynamics fuzzy rules model is the mathematical model about object movement disciplinarian which can be used for fuzzy controller design directly. Based on the thermodynamic system inverse dynamics fuzzy rules model, the inverse dynamics fuzzy rules model and fuzzy controller design theory are combined organically, and the fuzzy controllers based on inverse dynamics fuzzy rules model are built in different conditions. Relevance analysis method is used for the selection of controller's input variables. The on-line datum is introduced to adjust the fuzzy rules models actively in order to guarantee the veracity.Inverse dynamics fuzzy rules model identification method and fuzzy controllers...