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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:TANG Jian-lin,DONG Yan-liang,ZHAO Ke-ding.Subsystem model-based close-loop grey-box identification method for hydraulic stewart platform[J].Journal of Harbin Institute Of Technology(New Series),2011,18(2):107-112.DOI:10.11916/j.issn.1005-9113.2011.02.022.
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Subsystem model-based close-loop grey-box identification method for hydraulic stewart platform
Author NameAffiliation
TANG Jian-lin School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China 
DONG Yan-liang School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China 
ZHAO Ke-ding School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China 
Abstract:
In order to solve the problem of difficult modeling and identification caused by time-variable parameters,multiple inputs and outputs and unstable open loop,a subsystem model-based close-loop grey-box identification method was put forward when consider the main coupling effects of hydraulic Stewart platform.Firstly,the whole system is divided into three TITO(Two Input Two Output) subsystems according to the characteristics of the pseudo-mass matrix,hence transfer function matrix model of the subsystem can also be found.Secondly,since the Stewart platform is unstable,the close-loop transfer model of the subsystem is derived under the proportional controllers.The inverse M serial is adopted as the identification signal to get the experimental data.All parameters of the subsystem are determined in close-loop indirect identification by PEM(Prediction Error Method).Finally,a case study validates the correctness and effectiveness of the subsystem model-based close-loop grey-box identification method for hydraulic Stewart platform.
Key words:  hydraulic Stewart platform  pseudo-mass matrix  prediction error method  close-loop indirect identification  grey-box model
DOI:10.11916/j.issn.1005-9113.2011.02.022
Clc Number:TH137
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