Neural control of the movements of a wheelchair

被引：46

作者：

Boquete, L ^{[1
]}

García, R ^{[1
]}

Barea, R ^{[1
]}

Mazo, M ^{[1
]}

机构：

[1] Univ Alcala de Henares, Dept Elect, Alcala De Henares 28001, Spain

来源：

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 1999年 / 25卷 / 03期

关键词：

intelligent control; neural network; backpropagation; Lyapunow stability; wheelchair;

D O I：

10.1023/A:1008068322312

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the problem of controlling the movements of a handicapped person's motorized wheelchair from a practical point of view. The control system implemented has been divided into two levels: the "low level", consisting of an electronic system which directly controls the drivers of the chair's motors, with a classic PID (proportional-integral-derivative) control loop. The aim of this level is to ensure that the speeds of each one of the wheels is similar to the input speed of these control boards. The second control level ("high level"), implemented by means of neural techniques, ensures that the linear and angular speeds of the wheelchair are those indicated by a trajectory generator. A new recurrent model is used as the neural network, for which the stability conditions of the complete control system are obtained and various practical tests are carried out, which show the correct performance of the actual system implemented.

引用

页码：213 / 226

页数：14

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