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Simulation of Neuro-PID Controller for Pressure Process

Published on December 2013 by Athi Thilagalakshmi R1, Vijay Anand L D2
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International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
Foundation of Computer Science USA
ICIIIOES - Number 9
December 2013
Authors: Athi Thilagalakshmi R1, Vijay Anand L D2
ae0261e3-5f8d-4ef6-a081-0a683f86fe61

Athi Thilagalakshmi R1, Vijay Anand L D2 . Simulation of Neuro-PID Controller for Pressure Process. International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences. ICIIIOES, 9 (December 2013), 18-21.

@article{
author = { Athi Thilagalakshmi R1, Vijay Anand L D2 },
title = { Simulation of Neuro-PID Controller for Pressure Process },
journal = { International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences },
issue_date = { December 2013 },
volume = { ICIIIOES },
number = { 9 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 18-21 },
numpages = 4,
url = { /proceedings/iciiioes/number9/14344-1651/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%A Athi Thilagalakshmi R1
%A Vijay Anand L D2
%T Simulation of Neuro-PID Controller for Pressure Process
%J International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%@ 0975-8887
%V ICIIIOES
%N 9
%P 18-21
%D 2013
%I International Journal of Computer Applications
Abstract

PID controller has been designed based on neural network using Back Propagation (BP) algorithm. NNPID controller output is applied to Pressure control in a tank. A Neural Network weights are equivalent to PID controller parameters and NN adjusts the weights based on the operational status of the system in order to achieve better performance. This paper provides simulation results of Neural Network PID controller for Pressure Process using MATLAB and LabVIEW. From the simulation, NNPID controller has many advantages compared to conventional PI controller like less over shoot, more rise time and less settling time.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pressure Control Pi Controller Neural Network Bp Algorithm