Optimization of vehicle suspension system using genetic algorithm

Sikandar Khan; Mamon M. Horoub; Saifullah Shafiq; Sajid Ali; Umar Nawaz Bhatti

doi:10.1109/ICMAE.2019.8880941

Optimization of vehicle suspension system using genetic algorithm

Sikandar Khan
, Mamon M. Horoub
, Saifullah Shafiq
, Sajid Ali
, Umar Nawaz Bhatti

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

The vehicle suspension system is one of the main design factors in the automobile industry that can exponentially increase the level of customers comport and satisfaction. Various design strategies can be used to get optimum values for the various parameters in the suspension system. In this paper, a passive vehicle suspension system was modeled, and the system was optimized using Genetic Algorithm (GA) optimization technique. The GA is based on natural evolution and is successfully applied to various real-world problems. The variance of the dynamic load resulting from the vibrating vehicle is taken as the performance measure (i.e., objective function) of the suspension system. During the application of GA, first appropriate mutation rate, crossover rate, and population size were evaluated which were used to calculate optimum values for the parameters in the suspension system. The optimum values for the suspension system correspond to minimum values of the settling time and maximum overshoot and thus helps in decreasing the effect of the dynamic loads by reducing the vehicle vibration.

Original language	English
Title of host publication	2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	203-207
Number of pages	5
ISBN (Electronic)	9781728155357
DOIs	https://doi.org/10.1109/ICMAE.2019.8880941
State	Published - Jul 2019

Publication series

Name	2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Genetic algorithm
Optimum suspension parameters
Passive system
Vehicle suspension system

ASJC Scopus subject areas

Civil and Structural Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Aerospace Engineering

Access to Document

10.1109/ICMAE.2019.8880941

Cite this

Khan, S., Horoub, M. M., Shafiq, S., Ali, S., & Bhatti, U. N. (2019). Optimization of vehicle suspension system using genetic algorithm. In 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019 (pp. 203-207). Article 8880941 (2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMAE.2019.8880941

Khan, Sikandar ; Horoub, Mamon M. ; Shafiq, Saifullah et al. / Optimization of vehicle suspension system using genetic algorithm. 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 203-207 (2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019).

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abstract = "The vehicle suspension system is one of the main design factors in the automobile industry that can exponentially increase the level of customers comport and satisfaction. Various design strategies can be used to get optimum values for the various parameters in the suspension system. In this paper, a passive vehicle suspension system was modeled, and the system was optimized using Genetic Algorithm (GA) optimization technique. The GA is based on natural evolution and is successfully applied to various real-world problems. The variance of the dynamic load resulting from the vibrating vehicle is taken as the performance measure (i.e., objective function) of the suspension system. During the application of GA, first appropriate mutation rate, crossover rate, and population size were evaluated which were used to calculate optimum values for the parameters in the suspension system. The optimum values for the suspension system correspond to minimum values of the settling time and maximum overshoot and thus helps in decreasing the effect of the dynamic loads by reducing the vehicle vibration.",

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series = "2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019",

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Khan, S, Horoub, MM, Shafiq, S, Ali, S & Bhatti, UN 2019, Optimization of vehicle suspension system using genetic algorithm. in 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019., 8880941, 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 203-207. https://doi.org/10.1109/ICMAE.2019.8880941

Optimization of vehicle suspension system using genetic algorithm. / Khan, Sikandar; Horoub, Mamon M.; Shafiq, Saifullah et al.
2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 203-207 8880941 (2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The vehicle suspension system is one of the main design factors in the automobile industry that can exponentially increase the level of customers comport and satisfaction. Various design strategies can be used to get optimum values for the various parameters in the suspension system. In this paper, a passive vehicle suspension system was modeled, and the system was optimized using Genetic Algorithm (GA) optimization technique. The GA is based on natural evolution and is successfully applied to various real-world problems. The variance of the dynamic load resulting from the vibrating vehicle is taken as the performance measure (i.e., objective function) of the suspension system. During the application of GA, first appropriate mutation rate, crossover rate, and population size were evaluated which were used to calculate optimum values for the parameters in the suspension system. The optimum values for the suspension system correspond to minimum values of the settling time and maximum overshoot and thus helps in decreasing the effect of the dynamic loads by reducing the vehicle vibration.

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Khan S, Horoub MM, Shafiq S, Ali S, Bhatti UN. Optimization of vehicle suspension system using genetic algorithm. In 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 203-207. 8880941. (2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering, ICMAE 2019). doi: 10.1109/ICMAE.2019.8880941

Optimization of vehicle suspension system using genetic algorithm

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this