DocumentCode :
2111965
Title :
The research of tension optimal estimation and stair-climbing ability of transformationwheelchair robot
Author :
Teng Yun ; Wang Ting ; Yao Chen ; Li Xiaofan
Author_Institution :
Grad. Sch. of the Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
3716
Lastpage :
3721
Abstract :
To meet the rapid increasing demand of the equipment assisting the disabled and the old, a novel style transmuting track wheelchair robot is developed. It has the characteristic that the track tension can be determined dynamically. Compared to traditional method that keeps track tension constantly, dynamically determining tension can reduce power consumption obviously. Based on the fact that modeling track tension is complex, a fuzzy logic decision making method is developed to estimate the proportion of various factors that have effect on track tension. Combining with least square method, we get track tension optimal estimation algorithm. Considering the low speed characteristic of the wheelchair as climbing stairs and the track tension got by estimation algorithm, the paper develops a statics model of the wheelchair for the starting stage of stair-climbing. Simulation results prove that the wheelchair can climb stairs stably when it takes advantage of tension estimation algorithm.
Keywords :
decision making; estimation theory; fuzzy control; least squares approximations; mobile robots; power consumption; wheelchairs; fuzzy logic decision making; least square method; power consumption; stair-climbing ability; track tension optimal estimation; transformation wheelchair robot; transmuting track wheelchair robot; Estimation; Mathematical model; Mobile robots; Torque; Wheelchairs; Wheels; Climbing Stairs; Optimally Estimation of Track Tension; Statics; Wheelchair Robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5573602
Link To Document :
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