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Control system development for intel...

Si, Xiao Kun.

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Control system development for intelligent rehabilitation robotic system.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control system development for intelligent rehabilitation robotic system./
作者:	Si, Xiao Kun.
面頁冊數:	161 p.
附註:	Source: Masters Abstracts International, Volume: 43-03, page: 0986.
Contained By:	Masters Abstracts International43-03.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ96210
ISBN:	0612962105

Control system development for intelligent rehabilitation robotic system.
Si, Xiao Kun.

Control system development for intelligent rehabilitation robotic system. - 161 p.

Source: Masters Abstracts International, Volume: 43-03, page: 0986.

Thesis (M.Sc.)--University of Guelph (Canada), 2004.

A novel approach of control system development for an Intelligent Rehabilitation Robotic System (IRRS) is presented in this thesis. The major benefit of the MRS would be to physically rehabilitate stroke patient's limb motor and neuromuscular functions through artificial intelligence, real-time control, dynamical control and computer science. The proposed hybrid control system of the MRS consists of a traditional PID controller, combined with a fuzzy logic controller and neural network controllers to deal with system static, dynamics and external disturbances. The hybrid control system is designed, modeled and simulated through diverse methods by using different software including Coloured Petri-Nets for real-time analysis, Simulink for PID, Fuzzy Logic and Neural Network controller design and test, and LabVIEW for visual simulation and rapid-prototype establishment. Simulation results demonstrate satisfactory results. Preliminary experimental results are achieved from PID feedback and feed-forward control. System movements are tested accurate through several performance tests.

ISBN: 0612962105Subjects--Topical Terms:

1018128
Engineering, System Science.

Control system development for intelligent rehabilitation robotic system.
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520 $a A novel approach of control system development for an Intelligent Rehabilitation Robotic System (IRRS) is presented in this thesis. The major benefit of the MRS would be to physically rehabilitate stroke patient's limb motor and neuromuscular functions through artificial intelligence, real-time control, dynamical control and computer science. The proposed hybrid control system of the MRS consists of a traditional PID controller, combined with a fuzzy logic controller and neural network controllers to deal with system static, dynamics and external disturbances. The hybrid control system is designed, modeled and simulated through diverse methods by using different software including Coloured Petri-Nets for real-time analysis, Simulink for PID, Fuzzy Logic and Neural Network controller design and test, and LabVIEW for visual simulation and rapid-prototype establishment. Simulation results demonstrate satisfactory results. Preliminary experimental results are achieved from PID feedback and feed-forward control. System movements are tested accurate through several performance tests.
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