Title :
Online Optimal Neuro-Fuzzy Flux Controller for DTC Based Induction Motor Drives
Author :
Sadati, N. ; Kaboli, S. ; Adeli, H. ; Hajipour, E. ; Ferdowsi, M.
Author_Institution :
Sch. of Electr. Eng., Sharif Univ. of Technol., Tehran
Abstract :
In this paper a fast flux search controller based on the Neuro-fuzzy systems is proposed to achieve the best efficiency of a direct torque controlled induction motor at light load. In this method the reference flux value is determined through a minimization algorithm with stator current as objective function. This paper discusses and demonstrates the application of Neurofuzzy filtering to stator current estimation. Simulation and experimental results are presented to show the fast response of proposed controller.
Keywords :
fuzzy control; induction motor drives; machine control; neurocontrollers; optimal control; stators; torque control; DTC; direct torque controlled induction motor; flux search controller; induction motor drives; online optimal neuro-fuzzy flux controller; stator current estimation; Control systems; Filtering; Fuzzy neural networks; Induction motor drives; Induction motors; Lighting control; Minimization methods; Optimal control; Stators; Torque control;
Conference_Titel :
Applied Power Electronics Conference and Exposition, 2009. APEC 2009. Twenty-Fourth Annual IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-2811-3
Electronic_ISBN :
1048-2334
DOI :
10.1109/APEC.2009.4802657
