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Enhanced intelligent control with adaptive system for electrically assisted bicycle

Engineering Science and Technology an International Journal · Haziran 2022

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YÖKSİS Kayıtları
Enhanced intelligent control with adaptive system for electrically assisted bicycle
Engineering Science and Technology, an International Journal · 2022 SCI-Expanded
Dr. Öğr. Üyesi OKAN UYAR →
Enhanced intelligent control with adaptive system for electrically assisted bicycle
Engineering Science and Technology, an International Journal · 2022 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Enhanced intelligent control with adaptive system for electrically assisted bicycle
Engineering Science and Technology, an International Journal · 2022 SCI-Expanded
Doç. Dr. HULUSİ KARACA →

Makale Bilgileri

Dergi Engineering Science and Technology an International Journal
Yayın TarihiHaziran 2022
Cilt / Sayfa30
DOI10.1016/j.jestch.2021.08.004
Scopus ID2-s2.0-85122688533
Erişim🔓 Açık Erişim
Özet This paper presents an enhanced fuzzy logic control strategy considering the human-bike interaction. A new transmission mechanism and intelligent control system for an electric bicycle are designed and validated through simulations and experimental setup. A load cell-based mini-sensor system is developed to measure the pedal torque. The transfer function of the system is obtained with data-based system identification and the control algorithms are first tested on this model and transferred to the real environment. Since the cycle interval time is important in the success of the control algorithm, the Fuzzy logic rule bases are operated by using the Hash Table method. The PI, PID, Fuzzy PID, and Hybrid Fuzzy algorithms are compared. Fuzzy PID and Hybrid Fuzzy methods are close to each other in terms of time analysis parameters and performance criteria, but more successful than other control strategies. The simulation and experimental results show that the proposed approach is satisfactory in terms of response time and speed control and provides driving comfort and safety.

Yazarlar (3)

1
Okan Uyar
2
Mehmet Çunkaş
3
Hulusi Karaca

Anahtar Kelimeler

Cruise control E-Bike Electric vehicle Fuzzy logic control Hash table method

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey

Metrikler

20
Atıf
3
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

HK
HULUSİ KARACA
Doç. Dr.

Hızlı Erişim

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