Implementation of Artificial Neural Network on Temperature Control Process

Nupoor Patil*, D. R. Patil**
* M.Tech Scholar, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.
** Associate Professor, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.
Periodicity:July - September'2018

Abstract

Neural network controllers are network systems which have been inspired from biological neurons. Artificial neural networks (also known as ANN) work on the principle of learning where the networks learn based on the data provided to the network. The paper constitutes of implementation of ANN on temperature-controlled process like Single board heater system (also known as SBHS). Feed forward back propagation algorithm has been used for system learning. ANN controller learning is done using Levenberg Margaret Algorithm which is the fastest algorithm for supervised learning. ANN controller used has three layers namely input layer, hidden layer and output layer. The training data set which has been provided to the controller is the open loop response of the system. The responses performance plots, time series plot and regression plots for a variety of input data sets have been plotted.

Keywords

SBHS, Artificial Neural Network Controller, Step Test, Ramp Test, PRBS Test, Sine Test, Time Series Application, Regression, Performance, Backpropagation.

How to Cite this Article?

Patil, N., and Patil D. R. (2018). Implementation of Artificial Neural Network on Temperature Control Process. i-manager’s Journal on Electrical Engineering, 12(1), 26-32.

References

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.