Abstract: Modern high dynamic drive systems controlled by field-orientation require precise modeling of the induction motor. Because of the differences ...
Using a neural network allows the method of field-orientated control to be employed adaptively, taking into account parameter changes of the motor during ...
A neural network is trained through classified patterns by error of outputs between induction motor and the dynamic computational model to allow the method ...
In this paper, a high-performance speed control approach using artificial neural networks (ANNs) for the field-oriented induction motor is proposed.
Missing: adaption | Show results with:adaption
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Jun 11, 2017 · The parameters of mechanical subsystem are derived from the values of synaptic weights of the neural identification model after its adaptation.
Field-oriented techniques utilizing microprocessors are now widely used for the control of induction motor drives in high-performance applications.
Missing: adaption AC-
PDF | This study proposes an effective adaptation learning algorithm based on artificial neural networks for speed control of an induction motor assumed.
In this paper, a new approach to control the speed of an indirect field oriented induction machine drive using a classical PI controller is proposed.
The paper estimates the speed of induction motor in indirect field orientation using artificial neural network approach. The approach realizes the speed ...
PI based controller can be replaced by a neural network that learns the mapping form of the controller input – output relationship by adapting its parameters to ...