A three-layered feed-forward ANN with 11-40-2 structure is introduced to approach the inverse mode of IM drives. This study shows that the procedure using ANN ...

Abstract—Since the realization of inverse model is very important for inverse decoupling control of induction motor (IM) drives, the.

Since the well design of inverse model is very important for inverse decoupling control of induction machine (IM) drives, the robustness of BP neutral ...

Research on robustness of BP neural network based inverse model for induction Motor Drives ... inverse model based on ANN and analytic method for induction motor.

In this paper, the neural network-based inverse model was researched on the basis of the original work. Firstly, the dynamic model for IM drives is constructed.

This paper focuses on the development of a stator flux and torque decoupling mechanism based on artificial neural network (ANN) inverse system for induction ...

The performance of the neural network based estimator is investigated with simulations for variations in the rotor resistance from their nominal values, ...

An artificial neural network (ANN)-based inverse model, which synthesises artificial intelligent method and analytic method, is suggested, to accelerate the ...

Abstract. In this paper adaptive neural controllers implemented in the speed and flux control loops of the induction motor drive are presented. Feed-.

Based on this, an artificial neural network inverse control (ANNIC) method of induction motor with robust flux observer based on extended state observer ...