Damping of the torsional vibrations of the two-mass drive system working in adaptive control structure with TSK neuro-fuzzy controller

In this paper speed adaptive control structure of two-mass system is introduced. A neuro-fuzzy TSK controller is presented. Main goal of fuzzy controller is to reduce all kind of uncertainties and to minimalize vibrations of flexible connection of two-mass system. Two kind of fuzzy systems are tested: Type- 1 and Interval Type-2

Parametrization of neuro-fuzzy TSK controller working in adaptive speed control structure of drive system

In the paper issues related to the application of the adaptive control structure with a neuro-fuzzy TSK controllers with different parameters are presented. After a short introduction the mathematical model of plant and the structure of TSK neuro-fuzzy controller is featured. For identification TSK conclusions parameters the Genetic Algorithm Toolbox is taken. Proposed control structure with various neuro-fuzzy TSK controller is tested in simulation study. The obtained results allows to choose one set of TSK conclusion parameters witch have good properties for all researched controllers

Damping of the torsional vibration using neuro-fuzzy controllers

In the paper issues related to the application of the adaptive control structure with a neuro-fuzzy controllers with different parameters are presented. After a short introduction the mathematical model of plant is described. Then the MRAS structure with neuro-fuzy controller is introduced. Next the proposed control structure is tested in simulation study. The obtained results confirm very good properties of the analyzed structure. The application of the second type of the fuzzy sets increase the robustness of the control structure to the parameter variation of the drive