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Article
Publication date: 23 August 2011

Xianzhi Jiang, Caihua Xiong, Ronglei Sun, Xiaolin Huang and Youlun Xiong

The purpose of this paper is to present the static and dynamic characteristics of the rehabilitation joint.

Abstract

Purpose

The purpose of this paper is to present the static and dynamic characteristics of the rehabilitation joint.

Design/methodology/approach

The rehabilitation joint is driven by pneumatic muscle actuators (PMAs). Rehabilitation robot is normally composed of several rehabilitation joints. The static and dynamic characteristics of the rehabilitation joint are important for control of the rehabilitation robot. Analysis and modeling of the rehabilitation joint is based on experiments.

Findings

The static model of the PMA is obtained by the method of curve fitting and achieved better precision compared to the existing representative models. A second‐order model fits the dynamic characteristic of the rehabilitation joint better than a first order one.

Research limitations/implications

The rehabilitation joint and the patient's joint combine to make an independent system, and the unstable factors of the patient's joint make it difficult in precisely modeling the rehabilitation joint.

Originality/value

The characteristics of the rehabilitation joint are all based on the data that were recorded in a series of with experiments, the same with modeling of the rehabilitation joint.

Details

Industrial Robot: An International Journal, vol. 38 no. 5
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 1 May 2009

Caihua Xiong, Xianzhi Jiang, Ronglei Sun, XiaoLin Huang and Youlun Xiong

The purpose of this paper is to present the control methods of the exoskeleton robotic arm for stroke rehabilitation.

1583

Abstract

Purpose

The purpose of this paper is to present the control methods of the exoskeleton robotic arm for stroke rehabilitation.

Design/methodology/approach

The robotic arm is driven by the pneumatic muscle actuators. The control system provides independent control for the robot. The joint axes of the robotic arm are arranged to mimic the natural upper limb workspace.

Findings

Findings are the classification of training modes and control methods of rehabilitation training, and the characters of both the instant spasm and the sustaining one.

Research limitations/implications

This paper is a preliminary step in the control system and the kinematical characteristics should be analyzed to achieve high precision of movement.

Originality/value

Based on a hierarchical structure, the control system allows the execution of sequence of switching control methods: position, force, force/position and impedance. Patient‐active‐robot‐passive and patient‐passive‐robot‐active (PPRA) training modes are also presented in this paper. In PPRA mode, the robotic arm can provide pre‐specified resistances on the patient's arm. Both instant and sustaining spasms are taken into account for safety.

Details

Industrial Robot: An International Journal, vol. 36 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

Content available
Article
Publication date: 26 October 2010

773

Abstract

Details

Journal of Manufacturing Technology Management, vol. 21 no. 8
Type: Research Article
ISSN: 1741-038X

Article
Publication date: 1 June 2000

Rong‐Lei Sun, Xing‐Jiang Wan and Heng‐Yi Chang

The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The…

Abstract

The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or low‐alloy steel shell, clad internally with a layer of stainless steel. It works with high temperature, high humidity and high pressure. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded, as well as changes to any existing known cracks. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network‐based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the real‐life defects rarely exist in the pressurizer, the training of the network becomes very difficult. A new algorithm is exploited to solve the problem. General considerations about the robot design are also presented.

Details

Industrial Robot: An International Journal, vol. 27 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

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