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Real-Time Quadratic Sliding Mode Filter for Removing Noise.

Authors :
Jin, Shanhai
Kikuuwe, Ryo
Yamamoto, Motoji
Source :
Advanced Robotics. 2012, Vol. 26 Issue 8/9, p877-896. 20p.
Publication Year :
2012

Abstract

This paper presents a sliding mode filter for removing noise. It effectively removes impulsive noise and highfrequency noise, producing a smaller phase lag than linear filters. In addition, it is less prone to overshoot than previous sliding mode filters and it does not produce chattering. It is computationally inexpensive and thus suitable for real-time applications. The proposed sliding mode filter employs a quadratic surface as its sliding surface, which is designed so that the output converges to the input in finite time when the input value is constant. Its algorithm is derived by using the backward Euler discretization, which can be used to prevent chattering. The effectiveness of the filter was shown by experiments using an ultrasonic sensor and an optical encoder. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
01691864
Volume :
26
Issue :
8/9
Database :
Academic Search Index
Journal :
Advanced Robotics
Publication Type :
Academic Journal
Accession number :
84103294
Full Text :
https://doi.org/10.1163/156855312X633011