Universal grey number theory for the uncertainty presence of wiper structural system

被引:6
作者
Liang, Zhiqiang [1 ]
Liu, Xintian [1 ]
Yansong, Wang [1 ]
Wang, Xiaolan [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Mech & Automot Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Bootstrap method; Error circle; Interval method; Uncertain wiper structural system; Universal grey number theory; INTERVAL-ANALYSIS; PREDICTION; APPROXIMATION; TOLERANCES; ALLOCATION;
D O I
10.1108/AA-04-2020-0058
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose This study aims to accurately evaluate the influence of various error intervals on the performance of the wiper. Design/methodology/approach The wiper structural system is decomposed into classical four-link planar for kinematics analysis, and it was modeled respectively by using interval method, universal grey number theory and enumeration approach depending on the nature of uncertainty. Findings The universal grey number theory is a viable methodology for the accurate analysis of uncertain structural system. Originality/value (1) The model of uncertain wiper structural system is established. (2) Universal grey number theory and new parameters are adopted to analyze the presence of uncertain wiper structural system. (3) Comparative analysis of response quantities is obtained by interval method, universal grey number theory and enumeration method.
引用
收藏
页码:55 / 70
页数:16
相关论文
共 44 条
[1]   Tolerance analysis of assemblies with sculptured components in composites materials: comparison between an analytical method and a simulation approach [J].
Ascione, Rocco ;
Polini, Wilma .
ASSEMBLY AUTOMATION, 2018, 38 (02) :142-157
[2]  
Bashford A., 2007, INT J ROBOT RES, V23, P615
[3]   Interval methods for fault-tree analysis in robotics [J].
Carreras, C ;
Walker, ID .
IEEE TRANSACTIONS ON RELIABILITY, 2001, 50 (01) :3-11
[4]   Exact interval propagation for the efficient solution of position analysis problems on planar linkages [J].
Celaya, Enric ;
Creemers, Tom ;
Ros, Lluis .
MECHANISM AND MACHINE THEORY, 2012, 54 :116-131
[5]  
Chen Y., 2015, IEEE INT INSTR MEAS
[6]   Grey bootstrap method for data validation and dynamic uncertainty estimation of self-validating multifunctional sensors [J].
Chen, Yinsheng ;
Jiang, Shouda ;
Yang, Jingli ;
Song, Kai ;
Wang, Qi .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 146 :63-76
[7]   Uncertainty and imprecision modeling for the mobile robot localization problem [J].
Clerentin, Arnaud ;
Delafosse, Melanie ;
Delahoche, Laurent ;
Marhic, Bruno ;
Jolly-Desodt, Anne-Marie .
AUTONOMOUS ROBOTS, 2008, 24 (03) :267-283
[8]   Interval method for calibration of parallel robots: Vision-based experiments [J].
Daney, David ;
Andreff, Nicolas ;
Chabert, Gilles ;
Papegay, Yves .
MECHANISM AND MACHINE THEORY, 2006, 41 (08) :929-944
[9]   CONTROL-PROBLEMS OF GREY SYSTEMS [J].
DENG, JL .
SYSTEMS & CONTROL LETTERS, 1982, 1 (05) :288-294
[10]  
Efron B., 1993, INTRO BOOTSTRAP