文章基本信息

标题：Closed-loop Identiffication of a Multivariable Dynamic Knee Rig
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作者：Amélie Chevalier ; Andres Hernandez ; Clara M. Ionescu 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：116-121
DOI：10.1016/j.ifacol.2015.12.110
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents the closed-loop identiffication of a multivariable dynamic kneerig, which is used to evaluate the performance of newly developed knee prosthesis. Unlike standard dynamic knee rigs, the system used in this research has the capability to impose cyclic movements on the knee joint, making it a multivariable system, i.e. multi-input/multioutput (MIMO) system. To obtain a simpliffied model of the system, interaction between the multivariable outputs is neglected. As the system is unstable in open-loop, an indirect closedloop identiffication method is used to construct a model of the system. Parametric identiffication of the closed-loop system is performed using a speciffic version of the prediction error method: the ARMAX method. For each of the obtained models of the multivariable system the normalized root-mean-square error (NRMSE) value was obtained which quantiffies the goodness of ffit of the model compared to the experimental data. Based on the closed-loop models, a model for the open-loop system was derived and validated against the measured system's response. The results indicate that the identiffied models correspond to the measured signals and validation is obtained. However, improvements to the models are possible when taking into account the interaction between the variables of the MIMO system which will be the focus of future research. Future work also consists of developing an advanced controller based on the identiffied models to control the system's outputs.
关键词：KeywordsClosed-loop identifficationPrediction error methodsARMA parameter estimationMulti-input/multi-output systemsControlBiomedical systems