CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Simulation of Neuro-PID Controller for Pressure Process

Published on December 2013 by Athi Thilagalakshmi R1, Vijay Anand L D2
journal_cover_thumbnail

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
  1. LIU Jinhao, KAN Jiangming, 2009. "Self-Tuning PID controller Based on Improved BP Neural Network", second international conference on Intelligent Computation Technology and Automation.
  2. Nisha Jha, Udaibir Singh, T. K. Saxena, Avinashi Kapoor. 2011. "Online Adaptive Control for Non Linear Processes Under Influence of External Disturbance", International Journal of Artificial Intelligence and Expert System, volume(2), issue(2).
  3. Kenji Iwasa, Noboru, Sigeru Omatu. 1995. "Pressure control in a plant Generating chloride by Neural network PID control", Neural Networks Proceedings. , IEEE International Conference on publication.
  4. Beitao Guo, Hongyi Liu, Zhong Luo, Fei Wang. 2009. "Study of PID Neural Network For Hydraulic system", Proceeding of the IEEE International Conference on Automation and Logistics.
  5. Quing-Guo,Wang, Tong-hengLee, Ho-WangFung, QiangBi and Yuzhang. 1999. "PID Tuning For Improved Performance", IEEE Transactions on Control System Technology.
  6. Zazilah May, Muhammad Hanif Amaran, Nor Aisyah Ghazali. 2011. "Neural Network Predictive Controller for Pressure Control", second international conference on Instrumentation, control and automation.
  7. Mohammed Y. Hassan, Ganesh Kothapalli. 2010. "Comparison between Neural Network Based PI and PID Controllers", seventh International Multi-Conference on Systems, Signals and Devices.
  8. Jie Hao, Wenxiang Zhang, Mingqing Ling. 2010. "Research on PID Control Algorithm of BP Network based on Two Axis Digital Control Turntable", Tenth IEEE International Conference on Computer and Information Technology.
  9. F. Shahraki, M. A. Fanaei, A. R. Arjomandzadeh,2009. "Adaptive System control with PID Neural networks" ,Chemical engineering transaction.
  10. Jiangjiang Wang Chunfa Zhang, Dawei An and Youyin Jing,. 2007. "Study of Neural Network PID Control in Variable frequency Air-conditioning System", IEEE International Conference on Control and Automation.
  11. Hua Ji, Zhiyong Li, 2009. "Design of Neural Network PID controller Based on Brushless DC Motor", Second international conference on Intelligent Computation Technology and Automation.
  12. Liu Luoren, Luo Jinling, 2011. "Research of PID control algorithm based on Neural Network",sciverse science direct energy procedia.
  13. M. K. O. Ayomoh, M. T. Ajala,2012. "Neural Network modeling of a tuned PID controller", European journal of scientific research, volume. 71. no:2. pp:283-297.
Index Terms

Computer Science
Information Sciences

Keywords

Pressure Control Pi Controller Neural Network Bp Algorithm