Active Suspension of Cars using Fuzzy Logic Controller Optimized by Genetic Algorithm
Yazarlar (4)
Prof. Dr. Recep Kadir Pekgökgöz Harran Üniversitesi, Türkiye
Prof. Dr. Muhammet Arif Gürel Harran Üniversitesi, Türkiye
Prof. Dr. Mahmut BİLGEHAN İstanbul Arel Üniversitesi, Türkiye
Prof. Dr. Murat Kısa Harran Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
Dergi Adı International Journal of Engineering and Applied Sciences
Dergi ISSN 1309-0267
Dergi Tarandığı Indeksler EI: Engineering Index
Makale Dili İngilizce Basım Tarihi 01-2010
Cilt / Sayı / Sayfa 2 / 4 / 27–37 DOI
Makale Linki http://dergipark.gov.tr/ijeas
UAK Araştırma Alanları
Betonarme Yapılar
Özet
In the literature, there are many studies based on adaptive control methods to improve the properties of the vehicle suspension systems. In this work, fuzzy logic is used to control the active suspension and the membership functions are optimized by using genetic algorithm operations. By using the fuzzy logic and proportional, integral, derivative (PID) controller methods, the vehicle body deflections and the control force have been obtained and compared with each others. These comparisons displayed the efficiency and convenience of the offered fuzzy logic controller (FLC) method. The study shown that the proposed method can be used for the active control of car suspension systems
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 92

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