Simulation for Variable Transmission Using Mono Level Genetic Algorithm

被引：2
|
作者：
Dhar, Ritwik [1 ]
Doshi, Niti [1 ]
机构：
[1] Dwarkadas J Sanghvi Coll Engn, Dept Elect & Telecommun, Mumbai 400056, Maharashtra, India
来源：
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT MANUFACTURING AND AUTOMATION (ICIMA 2018) | 2019年
关键词：
Simulation; CVT; Force balance; Tuning; Genetic algorithm; Cam; Arduino; All-Terrain vehicle;
D O I：
10.1007/978-981-13-2490-1_62
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The simulation is formulated using Genetic Algorithm (GA) for Continuously Variable Transmission (CVT) tuning. The algorithm makes use of the force balance equations to construct the fundamental model for CVT in MATLAB which uses the GA to optimize the parameters for the required output from CVT. The parameters involved for better optimization are the flyweight mass, primary and secondary spring stiffness and primary and secondary cam profiles. The output obtained from the simulation software is then compared to the experimental testing results for validation. The simulation results provide minimal error rate with respect to the engagement and shifting speeds and the results also occur in the constant RPM most of the times.
引用
收藏
页码：669 / 677
页数：9
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