DocumentCode :
2310967
Title :
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
Link To Document :
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