4.7 Article

Enhanced intelligent control with adaptive system for electrically assisted bicycle

出版社

ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD
DOI: 10.1016/j.jestch.2021.08.004

关键词

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

资金

  1. Coordinatorship of Selcuk University's Scientific Research Projects [15101002]

向作者/读者索取更多资源

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. The fuzzy logic rule bases are operated using the Hash Table method and compared with other control strategies. The simulation and experimental results demonstrate that the proposed approach achieves satisfactory response time and speed control, providing driving comfort and safety.
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. (C) 2021 Karabuk University. Publishing services by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据