Levenberg a Marquardtas Algorithm used for  PID Controller Parameters Optimization

Levenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization

Ahmed Said Abd El-hamid

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Ahmed S. Abd El-Hamid

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Ahmed H. Eissa

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ALy Radwan

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α National Research Centre

Levenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization

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Abstract

The determination of parameters of controllers is an important problem in automatic control systems. In this paper, the Levenberg Marquardt (LM) Algorithm is used to effectively solve this problem with reasonable computational effort. The Levenberg Marquardt (LM) Algorithm for optimization of three term (PID) controller parameters with dynamic model of pH neutralization process is presented. The main goal is to show the merits of Levenberg Marquardt algorithm optimization and to determine its suitability in the area of control systems. Lastly, the application of this approach to the calculation of the parameters of PID controller shows that the Levenberg Marquardt (LM) algorithm has a better dynamic performance of pH neutralization process.

References

8 Cites in Article

Reference Format

Yancho Todorov,Margarita Terzyiska,Sevil Ahmed,Michail Petrov (2013). Fuzzy-neural predictive control using Levenberg-Marquardt optimization approach.
A Ayman,Aly (2011). PID Parameters Optimization Using Genetic Algorithm Technique for Electrohydraulic Servo Control System.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ahmed Said Abd El-hamid. 2015. \u201cLevenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization\u201d. Global Journal of Research in Engineering - C: Chemical Engineering GJRE-C Volume 15 (GJRE Volume 15 Issue C1): .

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GJRE Volume 15 Issue C1
Pg. 25- 31

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-C Classification: FOR Code: 090499

Submission ReceivedApril 11, 2015
Peer Review Double Blind
Handling Editor
Accepted May 3, 2015
Published May 15, 2015

Version of record

v1.2

Issue date

May 8, 2015

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Article Matrices

Total Score: 103

Country: Egypt

Subject: Global Journal of Research in Engineering - C: Chemical Engineering

Authors: Ahmed S. Abd El-Hamid, Ahmed H. Eissa, ALy Radwan (PhD/Dr. count: 0)

View Count (all-time): 247

Total Views (Real + Logic): 4416

Total Downloads (simulated): 2118

Publish Date: 2015 05, Fri

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Total Views: 4416

Total Downloads: 2118

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