Experimental investigation of the direct torque neuro-fuzzy controller for induction motor drive
Paweł Grabowski , Marian Kaźmierkowski
Abstractn this paper, the concept and implementation of a new simple Direct Torque Neuro-Fuzzy Control (DTNFC) scheme for PWM inverter-fed induction motor drive are presented. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to achieve high performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3 kW induction motor experimental system with digital signal processor (DSP type) TMS 320C31 based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograma for controller design are given. It has been shown that the simple DTNFC is characterized by very fast torque and flux response, very low speed operation and simple tuning capability.
|Book||(eds.): Proceedings of International Conference on Electrical Machines ICEM 2000, 2000, Finland, Helsinki University of Technology, ISBN 951-22-5097-7|
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