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http://dx.doi.org/10.3795/KSME-A.2010.34.9.1153

Optimization of Design Variables of Detection Algorithm for Loss of Balance Using a Linear Internal Model  

Kim, Kwang-Hoon (Research Institute of Mechanical Technology, Pusan Nat'l Univ.)
Kim, In-Su (School of Mechanical Engineering, Pusan Nat'l Univ.)
Son, Kwon (School of Mechanical Engineering, Pusan Nat'l Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.34, no.9, 2010 , pp. 1153-1160 More about this Journal
Abstract
The detection algorithm for loss of balance had three main parts: one for processing data, another for constructing an internal model, and a third for detecting the loss of balance. The part related to the internal model is the most important part of the algorithm. The purpose of this study is to evaluate the effect of variables associated with the internal model on the success rate of the algorithm. The internal model depends on the type of linearization adopted and the operating period of the algorithm. The design variables were evaluated by performing sensitivity analysis of the variables of the internal model in order to obtain the success rate of the algorithm. The results showed that the most sensitive variable was the period and the period of 0.3 s yielded the highest success rate of 97.1%. Further, the ranges of the design variables that can facilitate a success rate of over 95% are presented.
Keywords
Detecting Method; Falling; Loss of Balance; Optimization; Linear Internal Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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