Levenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization

Ahmed Said Abd El-hamid

Levenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization

Ahmed Said Abd El-hamid * §

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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

1. Fuzzy-neural predictive control using Levenberg- Marquardt optimization approach.
2. A. Ayman,Aly (2011). PID Parameters Optimization Using Genetic Algorithm Technique for Electrohydraulic Servo Control System. Intelligent Control and Automation, 2, 69-76.
3. P. Cominos,N. Munro (2002). PID Controllers: Recent Tuning Methods and Design to Specification. IEE Pro-ceedings Control Theory & Applications, 149(1), 46-53.
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4. W. Wang,J. Zhang,T. Chai (2000). Survey of Advanced PID Parameter Tuning Methods. Acta Auto-matica, 26(3)
5. Kamran Turkoglu,Ugur Ozdemir,Melike Nikbay,M. Elbrous (2008). Jafarov “PID Parameter Optimization of an UAV Longitudinal Flight Control System. World Academy of Science, Engineering and Technology, 21
6. B. Kada,Y. Ghazzawi (2011). Robust PID Controller Design for an UAV Flight Control System. WCECS, 19-21.
7. Mendis. U,Gedeon. D,Kóczy. T (2006). Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method. 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06, 34-34.
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8. Xiangzhong Meng,Baoye Song (2007). Fast Genetic Algorithms Used for PID Parameter Optimization. 2007 IEEE International Conference on Automation and Logistics, 2144-2148.
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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. "Levenberg a Marquardtas Algorithm used for PID Controller Parameters Optimization". Global Journal of Research in Engineering - C: Chemical Engineering GJRE-C Volume 15 (GJRE Volume 15 Issue 12 (C1)).

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GJRE Volume 15 Issue 12 (C1)

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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 13, 2015

Version of record

v1.2

Issue date

May 13, 2015

Language

English

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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): 504

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Publish Date: 2015 05, Fri

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