Estimation of Residual Traveling Distance for Power Wheelchair Using Neural Network

被引:0
|
作者
Chen, Pei-Chung [1 ]
Li, Xiao-Qin [2 ]
Koh, Yong-Fa [1 ]
机构
[1] Southern Taiwan Univ Sci & Technol, Dept Mech Engn, Tainan 71005, Taiwan
[2] Ningbo Polytech, Dept Elect & Informat Engn, Ningbo 315800, Zhejiang, Peoples R China
关键词
Residual traveling distance; Residual energy; Power wheelchair; CHARGE; STATE;
D O I
10.1007/978-3-319-17314-6_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The residual traveling distance of a power wheelchair is difficult to estimate due to the unknown factors of user manipulation behavior and journey characteristics of wheelchair. A virtual residual energy estimation system for power wheelchair based on neural network is proposed to estimate virtual residual energy which could be transformed into residual traveling distance. Two types of estimation systems with three training processes are presented. The estimated results are provided and compared. The results indicate that type-A estimation system with adaptive learning rate is a feasible solution based on economic factor and estimated performance.
引用
收藏
页码:43 / 49
页数:7
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