Speed Control Of BLDC Motor using Neural Network In MATLAB Simulink

Description

This price is for Indians, if you are from another country then your model price will be different it depends on your country’s currency- Chat with us on WhatsApp.

Hello guys, in this zip file you will find the Matlab Simulink model on speed control of the BLDC motor using a neural network.

Similar to a human brain, artificial neural networks (ANNs) are built with interconnected nodes, just like a web. As you might already know, a single human brain consists of innumerable cells referred to as neurons. Each neuron, made up of a cell body, processes information by carrying it away and towards your brain. Also called processing units, an ANN comprises hundreds or thousands of artificial neurons. Each of these processing units is made up of input as well as output units.

In order to produce an output report, the neural network tries to learn about the information. The set of learning rules followed by ANNs is called backpropagation. In the training phase, the ANN tries to recognize the different patterns in the data fed to it. In the supervised phase, the ANN compares the actual output with the desired one in order to detect any differences. These differences are adjusted, as a result of backpropagation.

In recent years, the use of ANN controllers increased exponentially. The ANN controller has a lesser settling time in contrast to other controllers. The response is nearly equal to the reference model. The model reference. The ANN controller is robust, easy to implement, and more effective than the PID and fuzzy controllers.

Disclaimer:

Please note, that this product is owned by us, and if you upload this file on Youtube or Internet after purchasing it. Then you will get a copyright complaint from us.

Thanks & regards,
CS Electrical And Electronics Team

Chat Us On WhatsApp For Support: Click Here