DocumentCode
3272612
Title
Research on in power smart sensor base on LSM
Author
Chen Shou-qiang ; Liu chuan ; Jie, Qian
Author_Institution
Sch. of Mech. Eng. & Autom., Xihua Univ., Chengdu, China
fYear
2011
fDate
15-17 April 2011
Firstpage
1632
Lastpage
1634
Abstract
This paper discusses the methods of error minimum mean voltage in the power smart sensor component of the application. Proposed and analyzed and compared to obtain the power smart sensor is difficult to predict important parameters of voltage RMS power, the initial phase angle of the several methods are methods that minimize the error on the circuit performance due to reduced demand. And can effectively simplify the system and reduce costs. Simulation results show that the use of new methods for voltage RMS in the time available to reduce the sampling frequency, the amplitude of the signal in the initial phase angle disturbance requirement from less than 5% of the signal amplitude can be relaxed to 15% of the signal amplitude.
Keywords
intelligent sensors; least mean squares methods; signal sampling; LMS method; cost reduction; error minimum mean voltage method; phase angle disturbance; power smart sensor; sampling frequency; signal amplitude; signal processing; voltage RMS power; Decision support systems; component; signal processing; smart sensor; voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777224
Filename
5777224
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