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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
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MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 12(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
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pp. 4247-4257
S&M2082 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2665 Published: December 26, 2019 Experimental Method for Determination of Virtual Inertia Matrix Using Multivariate Regression Analysis [PDF] Koji Fukami and Shin-Ichiro Higashino (Received October 26, 2019; Accepted December 7, 2019) Keywords: inertia matrix, added mass, regression analysis, unmanned aerial vehicle
We present the concept of an experimental method for the determination of the inertia matrix with an added mass effect. This experimental method can be applied to any size and type of object. In particular, it can be most effectively used for small unmanned aerial vehicles (UAVs). The model vehicle is suspended by two thin light weight low-stretch lines vertically attached to two hook points on the model and provided with a free rotational oscillation to estimate the moment of inertia around the vertical axis through the center of gravity. This procedure is repeated at different attitude angles so that the moments of inertia around different axes can be calculated and used in the estimation of all components of the moments and products of inertia in the form of an inertia matrix, using a multivariate regression equation.
Corresponding author: Shin-Ichiro Higashino  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Koji Fukami and Shin-Ichiro Higashino, Experimental Method for Determination of Virtual Inertia Matrix Using Multivariate Regression Analysis, Sens. Mater., Vol. 31, No. 12, 2019, p. 4247-4257. |
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