汽车工业中使用卡尔曼滤波方法的过渡状态估计解释

2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT) Pub Date : 2013-10-24 DOI:10.1109/SoMeT.2013.6645677

L. Crisan, A. Gontean

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引用次数: 0

摘要

本文旨在介绍卡尔曼滤波在评估软件产生的PWM(脉宽调制)信号状态方面的新应用领域。目标是在汽车行业的测试和测量应用中实现卡尔曼滤波器，使用实时处理和后处理技术，并为轻型驱动器模块提供PWM过渡信号分析和功率因数分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Transitional state estimation interpretation using a Kalman filter approach in the automotive industry

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.

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来源期刊

2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT)

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