Estimation of Residual Traveling Distance for Power Wheelchair Using Neural Network

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 345)

Abstract

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.

Keywords

Residual traveling distance Residual energy Power wheelchair 

Notes

Acknowledgments

This chapter is supported by Ministry of Science and Technology of the Republic of China under the grant number MOST 103-2221-E-218-013.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringSouthern Taiwan University of Science and TechnologyTainanTaiwan
  2. 2.Department of Electronic & Information EngineeringNingbo PolytechnicNingboChina

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