An Extended Kalman Filter based parametric identification for a tire balancer system

被引：0

作者：

Trentini, Rodrigo ^{[1
]}

机构：

[1] Fed Inst Santa Catarina, Dept Elect Engn, Jaragua Do Sul, Brazil

来源：

2018 29TH IRISH SIGNALS AND SYSTEMS CONFERENCE (ISSC) | 2018年

关键词：

Tire Balancer; System Identification; Extended Kalman Filter;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a computational implementation of an Extended Kalman Filter in a tire balancer manufactured by a Brazilian company. The algorithm is responsible for the identification of balancer's unknown parameters in a more robust and accurate way in comparison to the current solution. Results have shown that the proposed algorithm is able to reduce balancer's overall error tolerance along to introducing noise's robustness to the machine.

引用

页数：4

共 12 条

[1]

[Anonymous], 2015, Introducao a Identificacao de Sistemas-Tecnicas Lineares e Nao-Lineares Aplicadas a Sistemas Reais

[2]

Fujii K., 2013, Refernce Manual, V14, P14

[3]

Isidori A., 2013, NONLINEAR CONTROL SY

[4]

Kalman R., 1960, Journal of Basic Engineering, V82, P35, DOI [DOI 10.1115/1.3662552, 10.1115/1.3662552]

[5]

Ljung L., 2011, SYSTEM IDENTIFICATIO

[6] Real-time Tire Imbalance Detection Using ABS Wheel Speed Sensors [J].

Lu, Jianbo ;

Filev, Dimitar ;

Johnson, Leonard .

SAE INTERNATIONAL JOURNAL OF MATERIALS AND MANUFACTURING, 2011, 4 (01) :1036-1047

[7]

NEILL AH, 1974, TIRE SCI TECHNOL, V2, P179

[8]

Rao SingiresuS., 2011, Mechanical vibrations, V4

[9] Stochastic stability of the discrete-time extended Kalman filter [J].

Reif, K ;

Günther, S ;

Yaz, E ;

Unbehauen, R .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (04) :714-728

[10]

Salvador M., 2004, 9 INT C HIGH TECH CA

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