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A Neuro-Fuzzy based Non-linear Control Technique for Steam Boiler using Levenberg-Marquardt Algorithm
Author(s)
Waqar Uddin COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan
Kamran Zeb COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan
Zunaib Ali COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan
Syed Riazul Hussnain University of Engineering & Technology,Abbottabad Campus, Abbotabad,Pakistan
Shahid Qamar COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan
Tariqullah Jan University of Engineering & Technology,Peshawar, Main Campus, Peshawar,Pakistan
SanaulHaq Department of Electronics, University of Peshawar,Peshawar,Pakistan
Abstract
The objective of this paper is to design a nonlinear control system, to stabilize the drum level and steam pressure of the industrial boiler at desired values. It is difficult to maintain the accurate control performances and to achieve the desired estimated values by using conventional proportional integral derivative (PID) control system. Based on the dynamic behavior of the boiler an Adaptive Fuzzy Logic (AFL) control strategy is designed to stabilize the drum level and steam pressure at desired values. The proposed non-linear AFL strategy is robust to meet the control objectives and to handle the uncertainties faster than traditional controllers. The simulation results show that the proposed AFL has tracking ability with better steady state error and transient response than conventional PID controller.
Publication Details
Page(s) 215-225
DOI DOI not available
Published Journal: Proceedings of Pakistan Academy of Sciences, Volume: 52, Issue: 3, Year: 2015
Keywords
LevenbergMarquardt LM Adaptive Fuzzy Logic controller AFLC PID controller
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