Neural Network Based Intelligent Process Control System

Author

Kadam, D.B. ; Patil, A.B. ; Paradeshi, K.P.

Author_Institution

Shivaji Univ., Kolhapur, India

fYear

2010

fDate

12-13 March 2010

Firstpage

356

Lastpage

358

Abstract

This paper proposes the speed control of a PM DC motor using ANN. The novelty of this paper lies in the application of Neural Network. The performance of the proposed system; ANN Based speed control of a PM DC motor drive has been compared with the PI based speed control of a PM DC motor drive. The entire system has been modeled using MATLAB 7.1 tool box. It has been found that the comparative results indicate that the ANN-based system is clearly superior, particularly in the case of parameter variations and load disturbances, because of the online weights and biases updating feature of the ANN.

Keywords

DC motor drives; PI control; machine control; neurocontrollers; permanent magnet motors; velocity control; ANN based speed control; MATLAB 7.1 toolbox; PI based speed control; PM DC motor drive; intelligent process control system; neural network; Artificial neural networks; DC motors; Intelligent control; Intelligent networks; Intelligent systems; MATLAB; Mathematical model; Neural networks; Process control; Velocity control; ANN (Artificial neural network); PID (Proportional Integral Derivative); PM (Permanent Magnet); SMC (Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information, Telecommunication and Computing (ITC), 2010 International Conference on

Conference_Location

Kochi, Kerala

Print_ISBN

978-1-4244-5956-8

Type

conf

DOI

10.1109/ITC.2010.47

Filename

5460580