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This paper proposes a Takagi-Sugeno neurofuzzy inference system for direct torque and stator reactive power control applied to a doubly fed induction motor (DFIM). The control variables (d-axis and q-axis rotor voltages) are determined through a control system composed by a neuro-fuzzy inference system and a first order Takagi-Sugeno fuzzy logic controller. Experimental results are presented to validate...
The aim of this paper is to develop a six phase induction machine (6PEVI) model suitable for the simulation of this machine in any system with control circuits and/or connections to the grid by means of power electronics converters. The circuit-oriented approach has been chosen in order to represent the 6PIM model as a rotating transformer. In fact, a class of universal machine model has been built...
Model predictive control algorithms have recently gained more importance in the field of power electronics and motor drives. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse system model is used to calculate the appropriate inputs for the next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed...
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