NDLI: Implement of Power Assisted Vehicle Based on Fuzzy Neural Networks

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2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)

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2008 3rd International Conference on Innovative Computing Information and Control

Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007)

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)

Implement of Power Assisted Vehicle Based on Fuzzy Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Tsai-Jiun Ren
Copyright Year	2009
Abstract	A smooth moving control method of the power assisted vehicle (PAV) based on a fuzzy neural networks is presented. The PAV is used to generate power for saving use's effort, and PAV needs human-guided to recognize the environment, plan the trajectory without danger of collision. According to the human thrust, PAV provides the assisted force by two servomotors lined the wheels. However, if the gain is too high, the speed of PAV will be too fast, user will not be able to maintain contact with the PAV. Conversely, if the gain is designed too low, the power-assisted effect will be negligible at low speed. For the reason, a self-tuning assisted gain based on fuzzy neural networks is presented in this paper. The experimental results demonstrate that the feasibility and the efficiency of proposed system.
Starting Page	124
Ending Page	127
File Size	577963
Page Count	4
File Format	PDF
ISBN	9781424455430
e-ISBN	9781424455447
DOI	10.1109/ICICIC.2009.237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Torque Force measurement Neural networks Humans Wheels Fuzzy neural networks Force sensors Servomotors Vehicles
Content Type	Text
Resource Type	Article

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