An approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair
An approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair
复制标题
人体输入扭矩的无传感器检测方法及其在电动轮椅助力运动中的应用
DOI:
10.1541/ieejias.126.137
复制
发表时间:
2006
影响因子:
--
通讯作者:
T. Murakami
中科院分区:
文献类型:
--
作者:
Yukiko Kaida;T. Murakami
This paper proposes the sensorless method of human torque input detection, even if a wheelchair runs under the condition that there is various disturbance, such as the friction, gravity, or bumps. In the modern society, as the population ages and fewer babies are born, the necessity for development of medical and welfare equipments is cried out. It is concerned that the burden of care gets too heavy. Power-assisted wheelchair can reduce the physical burden of the user and expand his range, and it is expected to not only help moving but also be used as apparatus for assistance of rehabilitation. Some previous studies have shown efficiency of power-assisted wheelchairs. But two problems are remained left. First, in previous research, the force sensor detects human torque input. We can measure the input through only one point, if it is used. In the hand-rim drive, which it is easy for the operator to grip, human torque input can’t be estimated from only one point. But a force sensor doesn’t suit with hand-rim drive. Secondly, a power-assisted wheelchair would be dangerous for the operator on the decline. With sensorless detection of human torque input, the force of gravity would be also estimated to be human torque. As the result, a power-assisted wheelchair would run recklessly. In this paper, the human input torque is regarded a part of disturbance. At first, to derive the total disturbance torque, reaction torque eatimation observer is used. Estimated reaction torque is represented as Eq. (1). Where τinit is difference with nominal value of an inertia matrix, and greac is gain of the reaction torque estimation observer.