Research Article
Model Following Control of SISO Nonlinear Systems using PID Neural Networks
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 140 - Issue 10 |
| Published: April 2016 |
| Authors: Tamer A. Al-Zohairy, Khaled S. Salem |
10.5120/ijca2016909465
|
Tamer A. Al-Zohairy, Khaled S. Salem . Model Following Control of SISO Nonlinear Systems using PID Neural Networks. International Journal of Computer Applications. 140, 10 (April 2016), 12-17. DOI=10.5120/ijca2016909465
@article{ 10.5120/ijca2016909465,
author = { Tamer A. Al-Zohairy,Khaled S. Salem },
title = { Model Following Control of SISO Nonlinear Systems using PID Neural Networks },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 140 },
number = { 10 },
pages = { 12-17 },
doi = { 10.5120/ijca2016909465 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Tamer A. Al-Zohairy
%A Khaled S. Salem
%T Model Following Control of SISO Nonlinear Systems using PID Neural Networks%T
%J International Journal of Computer Applications
%V 140
%N 10
%P 12-17
%R 10.5120/ijca2016909465
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper we propose a direct adaptive neural network strategy for a class of unknown nonlinear single-input single-output systems. The adaptive controller is based on PID neural network. The PID neural network defines three neurons with the function of proportional (P), integral (I) and differential (D), into a neural network. PID neural network parameters are obtained using back propagation learning algorithm. Simulation results have been presented here in illustrate the effectiveness and accuracy of the proposed control strategy for tracking unknown single-input single-output (SISO) nonlinear discrete-time systems with and without long time delay.
References
- HuailinShu.,Yoyguo Pi.2000. PID neural networks for time delayed systems.
- Fang Ding, Yun Zhang. 2011. The GA-BP Algorithm Based controller of PID Neural Network and Its Application.
- Yang Zhi-gang, Qian Jun-lei. 2013. PID Neural Network Adaptive Predictive Control for Long Time Delay System.
- QiushuangLIU,Xiaoli XU. 2010. PID neural network control of a membrane structure inflation system.
- AsheshaPanbude, Manish Sharma.2015. Implementation of Neural Network for PID Controller.
- Woo-yongHan,Jin-WookHan,Chang-goo Lee. 1999. Development of a Self-tuning PID controller based on Neural Network for Nonlinear Systems.
- Liu Luoren, LuoJinling. 2011. Research of PID Control Algorithm Based on Neural Network.
- B. Guo , H. Liu , Z. Luo , F. Wang. 2009. Adaptive PID Controller Based on BP Neural Network.
- Wei Lu, JianhuaYang ,Xiaodong Liu.2012.The PID controller based on the artificial neural network and the differential evolution algorithm.
- T. A. A. Alzohairy. 2012. Neural Internal Model Control for tracking Unknown Nonaffine Nonlinear Discrete-time Systems under External Disturbances.
- Qun Yu, HuaShu,HuailinShu. 2008. Development of PID neural network control system with virtual instrument.
- DilsadEngin, Mustafa Engin. 2013. Auto-tuning of PID parameters with programmable logic controller.
Index Terms
Keywords