DocumentCode :
1901221
Title :
Transitional state estimation interpretation using a Kalman filter approach in the automotive industry
Author :
Crisan, Liviu ; Gontean, Aurel
Author_Institution :
“Politeh.” Univ. of Timisoara, Timisoara, Romania
fYear :
2013
fDate :
22-24 Sept. 2013
Firstpage :
271
Lastpage :
275
Abstract :
This paper aims to introduce a new area of usage for the Kalman filtering for evaluating the state of software generated PWM (pulse width modulation) signal. The goal was to implement a Kalman filter in a test and measurement application for the automotive industry, using real time processing and post processing techniques and provide an analysis a PWM transitional signal analysis, power factor for a light driver module.
Keywords :
Kalman filters; automobile industry; automotive engineering; production engineering computing; pulse width modulation; Kalman filter; PWM transitional signal analysis; automotive industry; light driver module; power factor; pulse width modulation; software generated PWM signal; transitional state estimation interpretation; Current measurement; Equations; Kalman filters; Noise; Noise measurement; Pulse width modulation; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Software Methodologies, Tools and Techniques (SoMeT), 2013 IEEE 12th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0419-8
Type :
conf
DOI :
10.1109/SoMeT.2013.6645677
Filename :
6645677
Link To Document :
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