A neuro-fuzzy based non-linear control technique for steam boiler using Levenberg-Marquardt algorithm

Waqar Uddin; Kamran Zeb; Zunaib Ali; Syed Riazul Hussnain; Shahid Qamar; Tariqullah Jan; Sanaul Haq

A neuro-fuzzy based non-linear control technique for steam boiler using Levenberg-Marquardt algorithm

Waqar Uddin, Kamran Zeb, Zunaib Ali, Syed Riazul Hussnain, Shahid Qamar, Tariqullah Jan^*, Sanaul Haq

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	215-225
Number of pages	11
Journal	Proceedings of the Pakistan Academy of Sciences
Volume	52
Issue number	3
State	Published - 1 Sep 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© Pakistan Academy of Sciences.

Keywords

Adaptive fuzzy logic controller (AFLC)
Levenberg-Marquardt (LM)
PID controller

ASJC Scopus subject areas

General Social Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "A neuro-fuzzy based non-linear control technique for steam boiler using Levenberg-Marquardt algorithm",

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.",

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author = "Waqar Uddin and Kamran Zeb and Zunaib Ali and Hussnain, {Syed Riazul} and Shahid Qamar and Tariqullah Jan and Sanaul Haq",

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T1 - A neuro-fuzzy based non-linear control technique for steam boiler using Levenberg-Marquardt algorithm

AU - Uddin, Waqar

AU - Zeb, Kamran

AU - Ali, Zunaib

AU - Hussnain, Syed Riazul

AU - Qamar, Shahid

AU - Jan, Tariqullah

AU - Haq, Sanaul

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

KW - Adaptive fuzzy logic controller (AFLC)

KW - Levenberg-Marquardt (LM)

KW - PID controller

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M3 - Article

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VL - 52

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JO - Proceedings of the Pakistan Academy of Sciences

JF - Proceedings of the Pakistan Academy of Sciences

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ER -

A neuro-fuzzy based non-linear control technique for steam boiler using Levenberg-Marquardt algorithm

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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