Robust multivariable estimation of the relevant information coming from a wheel speed sensor and an accelerometer embedded in a car under performance tests
Robust multivariable estimation of the relevant information coming from a wheel speed sensor and an accelerometer embedded in a car under performance tests
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DOI：
10.3390/s5110488
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发表时间：
2005-11-01
期刊：
影响因子：
3.9
通讯作者：
Hernandez, W
中科院分区：
文献类型：
--
作者：
Hernandez, W
在本文中，为了评估在性能测试下放置在汽车中的车轮速度传感器和加速度计的响应，使用了稳健且最优的多变量估计技术。在这种情况下，干扰和噪声破坏了来自传感器输出的相关信息，其危害极大，它们对电气系统的负面影响降低了汽车的整体性能。简而言之，这个问题的解决方案是一个与安全相关的问题，值得我们充分关注。因此，为了减少干扰和噪声对汽车电气和机电系统的负面影响，使用了一个最优观测器。实验结果表明相关信号的信噪比有令人满意的提高，并证明了在设计当今汽车所需的智能传感器时融合多种智能传感器设计技术的重要性。
In the present paper, in order to estimate the response of both a wheel speed sensor and an accelerometer placed in a car under performance tests, robust and optimal multivariable estimation techniques are used. In this case, the disturbances and noises corrupting the relevant information coming from the sensors' outputs are so dangerous that their negative influence on the electrical systems impoverish the general performance of the car. In short, the solution to this problem is a safety related problem that deserves our full attention. Therefore, in order to diminish the negative effects of the disturbances and noises on the car's electrical and electromechanical systems, an optimum observer is used. The experimental results show a satisfactory improvement in the signal-to-noise ratio of the relevant signals and demonstrate the importance of the fusion of several intelligent sensor design techniques when designing the intelligent sensors that today's cars need.