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Comparison of ANN Controller and PID Controller for Industrial Water Bath Temperature Control System using MATLAB Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 53 - Number 2 |
| Year of Publication: 2012 |
| Authors: Yuvraj V. Parkale |
10.5120/8390-1967
|
Yuvraj V. Parkale . Comparison of ANN Controller and PID Controller for Industrial Water Bath Temperature Control System using MATLAB Environment. International Journal of Computer Applications. 53, 2 ( September 2012), 1-6. DOI=10.5120/8390-1967
Abstract
Artificial Neural Network is an effective tool for highly nonlinear system. With the advent of high-speed computer system, there is more increased interest in the study of non-linear system. Neuro control algorithm is mostly implemented for the application to robotic systems and also some development has occurred in process control systems. Process Control systems are often nonlinear and difficult to control accurately. Their dynamic models are more difficult to derive than those used in aerospace or robotic control, and they tend to change in an unpredictable way. This paper gives an example where a multilayered feed forward back propagation neural network is trained offline to perform as a controller for a temperature control system with no a priori knowledge regarding its dynamics. The inverse dynamics model is developed by applying a variety of input vectors to the neural network. The performance of neural network based on these input vectors is observed by configuring it directly to control the process. In this paper, we have compared the performance of PID controller with ANN [1] based upon Set point change, Effect of load disturbances and Processes with variable dead time. The result shows that ANN outperforms the PID controller.
References
- Liu He, Nie Ling ; Huang Huanpao," Superheated Steam Temperature Control Based on Active Disturbance Rejection Control & Neural Network", Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2010
- M. Azizur Rahman, Fellow, IEEE, and M. Ashraful Hoque, "On-Line Self-Tuning ANN-Based Speed Control of a PM DC Motor", IEEE/ASME Transactions On Mechatronics, Vol. 2, No. 3, September 1997
- Aleksandar M. Stankovi C and Andrija T. Sari6, "An Integrative Approach to Transient Power System Analysis with Standard and ANN-Based Dynamic Models", 2003 IEEE Bologna PowerTech Conference, June 23-26, Bologna, Italy
- Pravat K. Singh and Pankaj Rai, "An ANN Based X-PC Target Controller for Speed Control of Permanent Magnet Brushless DC Motor", Proceedings of the 2005 IEEE Conference on Control Applications Toronto, Canada, August 28-31, 2005
- Noor Hayatee Abdul Hamid, Mahanijah Md Kamal and Faieza Hanum Yahaya, "Application of PID Controller in Controlling Refrigerator Temperature".
- Daogang Peng, Hao Zhang, Conghua Huang, Fei Xia, Hui Li , "Immune PID cascade control based on neural network for main steam temperature system", Intelligent Control and Automation (WCICA), 2011 9th World Congress, 21-25 June 2011
- Nazaruddin, Y. Y. ; Aziz, A. N. ; Priatna, O. , " Improving performance of PID controller using artificial neural network for disturbance rejection of high pressure steam temperature control in industrial boiler", International Conference on Control, Automation and Systems, 2008.
- U. Yolac T. Yalcinoz, "Comparison Of Fuzzy Logic And PID Controllers for Tcsc Using Matlab".
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