Title :
Study on de-noising to the signal of torque sensor in electric power steering system using wavelet transform
Author :
Zhang, Wentai ; Chen, Wanzhong ; Wang, Yongjun
Author_Institution :
Inst. of Commun. Eng., Jilin Univ., Changchun, China
Abstract :
According to the characteristics that the signal of torque sensor both have electromagnetic noise of engine and impact signal of road surface, by changing thresholding on the different scales, we present an algorithm that wavelet transform coefficients of noise are filtered and impact signal of road surface are reserved, and reconstruct the torque signal in order to enhance signal-to-noise ratio (SNR) and make the torque signal present enough information of road surface. The experimental results derive from the bench test show that the method is more effective.
Keywords :
electric sensing devices; filtering theory; power system control; signal denoising; signal reconstruction; steering systems; torque; wavelet transforms; electric power steering system; road surface; signal denoising; signal-to-noise ratio; torque sensor; wavelet transform; Noise reduction; Roads; Sensor phenomena and characterization; Sensor systems; Signal to noise ratio; Steering systems; Surface reconstruction; Surface waves; Torque; Wavelet transforms;
Conference_Titel :
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN :
0-7803-8629-9
DOI :
10.1109/ICIA.2004.1373368
