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
Link To Document :
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