Robust Design Method Using Adjustable Control Factors

Autor:	Takeo Kato, Yoshiyuki Matsuoka, Suguru Kimura, Masatoshi Muramatsu
Rok vydání:	2014
Předmět:	Robust design Control theory Computer science Mechanical Engineering Control (management) Control engineering Robust control Design methods Industrial and Manufacturing Engineering Eigenvalues and eigenvectors
Zdroj:	International Journal of Automation Technology. 8:333-343
ISSN:	1883-8022 1881-7629
DOI:	10.20965/ijat.2014.p0333
Popis:	Design that ensures robust performance for diverse users and environments has received much attention. Previous research proposed a Robust Design Method (RDM) that considered the adjustable control factors (ACFs) of mechanisms such as the servo mechanisms of machine tools or recliner mechanisms of public seats. This method derived the optimum adjustment ranges of the ACFs only after both these factors and their (dependent or independent) relationships had been identified in the design problem. This research improves on the previous RDM to enable designers to select ACFs and their relationships. This method contains two indices. One is the standard deviation of each control factor, used for finding ACFs that need not be adjusted. The other is the contribution ratio of the eigenvalues calculated from the variance-covariance matrix of the ACFs, used for finding dependent relationships. This method effectively derives the optimum adjustment ranges of the ACFs and their relationships based on these indices. Numerical and design examples are presented to demonstrate the practicality of the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::077ef31a1c264c2d6a49d752674a35e5 https://doi.org/10.20965/ijat.2014.p0333 Zobrazit plný text záznamu