Industrial Applications of the Kalman Filter: A Review

被引：428
|
作者：
Auger, Francois [1 ]
Hilairet, Mickael [2 ]
Guerrero, Josep M. [3 ]
Monmasson, Eric [4 ,5 ]
Orlowska-Kowalska, Teresa [6 ]
Katsura, Seiichiro [7 ]
机构：
[1] Univ Nantes Angers Le Mans LUNAM, IREENA, F-44606 St Nazaire, France
[2] Univ Paris 11, Lab Genie Elect Paris, Gif Sur Yvette, France
[3] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
[4] Univ Cergy Pontoise, Syst & Applicat Technol Informat & Energie Lab SA, F-95300 Cergy Pontoise, France
[5] Univ Cergy Pontoise, Inst Univ Profess Genie Elect & Informat Ind, F-95300 Cergy Pontoise, France
[6] Wroclaw Univ Technol, Inst Elect Machines Drives & Measurements, PL-50370 Wroclaw, Poland
[7] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa 2238522, Japan
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2013年 / 60卷 / 12期
关键词：
Implementation issues; industrial applications; Kalman filter (KF); state estimation; BATTERY MANAGEMENT-SYSTEMS; SENSORLESS VECTOR CONTROL; MAGNET SYNCHRONOUS MOTOR; STATE-OF-HEALTH; MOBILE ROBOT; ONLINE IDENTIFICATION; POSITION ESTIMATION; CHARGE ESTIMATION; SPEED; IMPLEMENTATION;
D O I：
10.1109/TIE.2012.2236994
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Kalman filter (KF) has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 1970s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing, and so on. This paper provides a brief overview of the industrial applications and implementation issues of the KF in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.
引用
收藏
页码：5458 / 5471
页数：14
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