scholarly journals Energy Control System of Solar Powered Wheelchair

Solar Energy ◽  
10.5772/8066 ◽  
2010 ◽  
Author(s):  
Yoshihiko Takahashi ◽  
Syogo Matsuo ◽  
Kei Kawakami
Author(s):  
Liao Lu ◽  
Ping Yi Deng ◽  
Ying Wu ◽  
Jie Jun Bai ◽  
Yun Xiao Zhang ◽  
...  

A new intelligent powered wheelchair is urgently needed for the individuals with tetraplegia and similar impairments who are unable to use the standard joystick. Based on the tongue motion detection, a new control system is introduced in this paper which is helpful for users to operate powered wheelchair efficiently and easily. This article introduces two control modes, including tongue motion control mode and infrared control mode. Wherein the infrared control mode mainly use the infrared controller. The tongue motion can be detected with several vibration film sheets that were embedded in the headset and a standard analog signal can be generated with embedded controller to control the wheelchair. The tongue motion drive system integrated into headset was developed and the control of the wheelchair has been tested moving along the designed route. Preliminary results show that the system is simple and convenient to control powered wheelchair with low cost, which has potential application in intelligent control domain.


Author(s):  
Roungsan Chaisricharoen ◽  
Wanus Srimaharaj ◽  
Supansa Chaising ◽  
Phakphoom Boonyanant ◽  
Teeravisit Laohapensaeng

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 109
Author(s):  
Theja Pingali ◽  
Edward Lemaire ◽  
Natalie Baddour

In social situations, people who use a powered wheelchair must divide their attention between navigating the chair and conversing with people. These conversations could lead to increased mental stress when navigating and distraction from maneuvering the chair. As a solution that maintains a good conversation distance between the wheelchair and the accompanying person (Social Following), a wheelchair control system was developed to provide automated side-by-side following by wirelessly connecting the wheelchair to the person. Two ultrasonic range sensors and three piezoelectric ultrasonic transducers were used to identify the accompanying person and determine their position and heading. Identification involved an ultrasonic beacon worn on the person’s side, at hip level, and receivers on the wheelchair. A drive control algorithm maintained a constant conversation distance along the person’s trajectory. A plug-and-play prototype was developed and connected to a Permobil F5 Corpus wheelchair with a modified Eightfold Technologies SmartChair Remote. Results demonstrated that the system can navigate a wheelchair based on the accompanying person’s trajectory, which is advantageous for users who require hands-free wheelchair control during social activities.


1986 ◽  
Author(s):  
James R. Kelly ◽  
Lee H. Person ◽  
Kevin R. Bruce

2007 ◽  
Vol 30 (4) ◽  
pp. 1030-1039 ◽  
Author(s):  
Sheng-Wen Chen ◽  
Pang-Chia Chen ◽  
Ciann-Dong Yang ◽  
Yaug-Fea Jeng

Author(s):  
Siddharth M Ahluwalia ◽  
◽  
Nivin Varghese T ◽  
Nayan S Patil ◽  
Mayur R Sarbhukan ◽  
...  

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