DocumentCode
2840946
Title
Research on curing monitoring system of a variable step adaptive algorithm of the CAN bus
Author
Tian Shu ; Wang Xiaowei ; Wang Juanjuan
Author_Institution
Inst. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
fYear
2009
fDate
17-19 June 2009
Firstpage
5215
Lastpage
5218
Abstract
Traditional monitoring system of curing machines can hardly meet controlling requirement not only because it is interfered easily by the hostile environment of locale in the respect of data acquisition, but also it has a low processing speed of data and weak communication ability. This study establishes a CAN bus monitoring network which can fully utilize the powerful digital signal processing ability of DSP, and adopts a new sort of variable step LMS adaptive filtering algorithm. The algorithm resolves better the contradiction between filtering speed and precision, and then improves the accuracy of data acquisition and the real-time data processing through controlling step-size factor. Furthermore, it optimizes the performance of the filter. The CAN bus network achieve effectively the real-time sharing and monitoring of data, besides, because of the open structure, the study also supplies a foresighted thought for the later construction and capacity expansion of the system.
Keywords
controller area networks; curing; data acquisition; field buses; least mean squares methods; production engineering computing; CAN bus monitoring network; CAN bus network; curing machine; data acquisition; digital signal processing; hostile environment; monitoring system; real-time data processing; step-size factor; variable step LMS adaptive filtering; variable step adaptive algorithm; Adaptive algorithm; Communication system control; Condition monitoring; Control systems; Curing; Data acquisition; Digital signal processing; Filtering algorithms; Least squares approximation; Signal processing algorithms; Adaptive algorithm; CAN bus; DSP; LMS; Monitoring system; Variable step;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195030
Filename
5195030
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