Advanced fuzzy logic control system electrically driven with dual-zone speed regulation

The paper dwells upon a simulation of a sophisticated intelligent control system with two-zone speed regulation using a fuzzy set theory. It is shown that the approach suggested can be applied not only to regulate by modules configured to change a single coordinate but also effectively apply complex control procedures of internal elements that combine the settings to regulate different physical quantities. It introduces a model of the multi-stage fuzzy control system pointed to rate control in the modes ‘up to nominal’ and ‘over nominal’. The control systems constructed with the applied common methods, conventional approaches based on the fuzzy set theory, and developed intelligent systems with the proposed algorithm used are reviewed and their dynamic characteristics are studied. Further development of the suggested technique will allow the implementation of operating systems of such an object class not only in dual-zone control modes but also to compensate a significant amount of non-linear elements characterizing such an object.