EN
Suspension damping optimization using genetic algorithms
Öz
Vehicle
ride comfort is a function of the frequency of transmitting vibrations to
passengers from road irregularities. The objective of this research is to provide a systematic method into the requirement
of the passive suspension based on genetic algorithm (GA). Objective function of GA method is driver’s seat acceleration to
provide driver ride comfort. The passive suspension damping coefficient and
driver’s seat suspension damping coefficient have been optimized. In this
paper, a vehicle with eight degrees of freedom has been simulated to achieve
driver’s seat comfort. Analytical
results explained by mathematical equations presented in the graphical form
have been included.
Anahtar Kelimeler
Kaynakça
- 1. Kumar A, Mahajan P, Mohan D, Varghese M. Tractor vibration severity and driver health: a study from rural India. J Agric Eng. Res; 80(4): (2001), 313–28.
- 2. K.Toyofuku, Ch.Yamada, T.Kagawa, T.Fujita, Study on dynamic characteristic analysis of air spring with auxiliary chamber, JSAE Review 20, (1999), 349–355.
- 3. R.G. Cobb, J.M. Sullivan, A. Das, L. Porter Davis, T. Tupper Hyde, T. Davis, Z.H. Rahman, J.T. Spanos, Vibration isolation and suspension system for precision payloads in space, Smart Materials & Structures 8 (6), (1999),798–812.
- 4. Takubo N, Mizuno K. Accident analysis of sports utility vehicles: human factors from statistical analysis and case studies. JSAE Review; 21:2000.
- 5. D.L. Platus, Negative-stiffness-mechanism vibration isolation systems, in: E.A. Derby, et al. (Eds.), Proceedings of SPIE Conference on Current Developments in Vibration Control for Optomechanical Systems, SPIE, vol. 3786, (1999), pp. 98–105.
- 6. Sarel F. van der Westhuizen, Pieter S. Els, Slow active suspension control for rollover prevention, Journal of Terramechanics 50, (2013) ,29–36.
- 7. R. Guclu, Fuzzy Logic Control of Seat Vibrations of a Non-Linear Full Vehicle Model, Nonlinear Dynamics. 40, (2005), 21–34.
- 8. H. Du, J. Lam, K.Y. Sze, Non-fragile output feedback H1 vehicle suspension control using genetic algorithm, Engineering Applications of Artificial Intelligence 16 (2003) 667–680.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Makine Mühendisliği
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
10 Aralık 2019
Gönderilme Tarihi
24 Şubat 2019
Kabul Tarihi
14 Kasım 2019
Yayımlandığı Sayı
Yıl 2019 Cilt: 8 Sayı: 4
APA
Hemati, A., & Shooshtari, A. (2019). Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies, 8(4), 178-185. https://doi.org/10.18245/ijaet.531810
AMA
1.Hemati A, Shooshtari A. Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies. 2019;8(4):178-185. doi:10.18245/ijaet.531810
Chicago
Hemati, Ali, ve Alireza Shooshtari. 2019. “Suspension damping optimization using genetic algorithms”. International Journal of Automotive Engineering and Technologies 8 (4): 178-85. https://doi.org/10.18245/ijaet.531810.
EndNote
Hemati A, Shooshtari A (01 Aralık 2019) Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies 8 4 178–185.
IEEE
[1]A. Hemati ve A. Shooshtari, “Suspension damping optimization using genetic algorithms”, International Journal of Automotive Engineering and Technologies, c. 8, sy 4, ss. 178–185, Ara. 2019, doi: 10.18245/ijaet.531810.
ISNAD
Hemati, Ali - Shooshtari, Alireza. “Suspension damping optimization using genetic algorithms”. International Journal of Automotive Engineering and Technologies 8/4 (01 Aralık 2019): 178-185. https://doi.org/10.18245/ijaet.531810.
JAMA
1.Hemati A, Shooshtari A. Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies. 2019;8:178–185.
MLA
Hemati, Ali, ve Alireza Shooshtari. “Suspension damping optimization using genetic algorithms”. International Journal of Automotive Engineering and Technologies, c. 8, sy 4, Aralık 2019, ss. 178-85, doi:10.18245/ijaet.531810.
Vancouver
1.Ali Hemati, Alireza Shooshtari. Suspension damping optimization using genetic algorithms. International Journal of Automotive Engineering and Technologies. 01 Aralık 2019;8(4):178-85. doi:10.18245/ijaet.531810
Cited By
Enhancing Suspension System Control Performance Using PID Controller Incorporated Low-Pass Filter Optimizated with Genetic Algorithm
Deu Muhendislik Fakultesi Fen ve Muhendislik
https://doi.org/10.21205/deufmd.2024267713