Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control
Joint Authors
Qazi, Abroon Jamal
de Silva, Clarence W.
Khan, Afzal
Khan, Muhammad Tahir
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper uses a quarter model of an automobile having passive and semiactive suspension systems to develop a scheme for an optimal suspension controller.
Semi-active suspension is preferred over passive and active suspensions with regard to optimum performance within the constraints of weight and operational cost.
A fuzzy logic controller is incorporated into the semi-active suspension system.
It is able to handle nonlinearities through the use of heuristic rules.
Particle swarm optimization (PSO) is applied to determine the optimal gain parameters for the fuzzy logic controller, while maintaining within the normalized ranges of the controller inputs and output.
The performance of resulting optimized system is compared with different systems that use various control algorithms, including a conventional passive system, choice options of feedback signals, and damping coefficient limits.
Also, the optimized semi-active suspension system is evaluated for its performance in relation to variation in payload.
Furthermore, the systems are compared with respect to the attributes of road handling and ride comfort.
In all the simulation studies it is found that the optimized fuzzy logic controller surpasses the other types of control.
American Psychological Association (APA)
Qazi, Abroon Jamal& de Silva, Clarence W.& Khan, Afzal& Khan, Muhammad Tahir. 2014. Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048593
Modern Language Association (MLA)
Qazi, Abroon Jamal…[et al.]. Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1048593
American Medical Association (AMA)
Qazi, Abroon Jamal& de Silva, Clarence W.& Khan, Afzal& Khan, Muhammad Tahir. Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048593