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22945

Development of A PID Controller for Active Car Suspension System Using Adaptive Weighted PSO Algorithm

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Last updated: 04 Jan 2025

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Abstract

This paper focuses on the application of PI/PID controller tuned by Adaptive Weighted Particle Swarm Optimization (AWPSO) algorithm to car suspension system. The optimization step has been achieved based on three error criterion. These are: The Integral of Square Error (ISE), the Integral of Absolute Error (IAE) and the Integral of Time Absolute Error (ITAE). Also the obtained results have been compared with the outcomes of Ziegler- Nichols tuning methodology of the PID controller. Better performance of the PID tuned by the AWPSO proposed algorithm is noticeable. Finally, resources related to the AWPSO setting and initialization are listed. The system simulation and tuning of the PID controller have been achieved using MATLAB/Simulink tool.

DOI

10.21608/asat.2015.22945

Keywords

AWPSO, Active Suspension System, PID Controllers

Authors

First Name

Magdy

Last Name

Aboelela

MiddleName

A.S.

Affiliation

Faculty of Engineering, Cairo University, Giza, Egypt.

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First Name

Rania

Last Name

Hennas

MiddleName

H. M.

Affiliation

MSc. Student, Faculty of Engg., Cairo University, Giza, Egypt.

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City

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Orcid

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First Name

Hassen

Last Name

Dorrah

MiddleName

T.

Affiliation

Faculty of Engineering, Cairo University, Giza, Egypt.

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Volume

16

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015

Related Issue

4316

Issue Date

2015-05-01

Receive Date

2018-12-26

Publish Date

2015-05-01

Page Start

1

Page End

12

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_22945.html

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https://asat.journals.ekb.eg/service?article_code=22945

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Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Development of A PID Controller for Active Car Suspension System Using Adaptive Weighted PSO Algorithm

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Article

Created At

22 Jan 2023