A Neuro-Fuzzy based Non-linear Control Technique for Steam Boiler using Levenberg-Marquardt Algorithm | [Proceedings of Pakistan Academy of Sciences • 2015]

Author(s):

1. Waqar Uddin: COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan

2. Kamran Zeb: COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan

3. Zunaib Ali: COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan

4. Syed Riazul Hussnain: University of Engineering & Technology,Abbottabad Campus, Abbotabad,Pakistan

5. Shahid Qamar: COMSATS Institute of Information & Technology,Abbottabad Campus, Abbotabad,Pakistan

6. Tariqullah Jan: University of Engineering & Technology,Peshawar, Main Campus, Peshawar,Pakistan

7. 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.

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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