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Appl. Sci. 2017, 7(3), 209; doi:10.3390/app7030209

Tuning Guidelines for an Adaptive-Gain Parabolic Sliding Mode Filter

1
School of Engineering, Yanbian University, Yanji 133002, China
2
School of Mechanical Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
*
Author to whom correspondence should be addressed.
Academic Editor: Chien-Hung Liu
Received: 7 December 2016 / Revised: 2 February 2017 / Accepted: 16 February 2017 / Published: 23 February 2017
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Abstract

This paper quantitatively evaluates the performance of an adaptive-gain parabolic sliding mode filter (AG-PSMF), which is for removing noise in feedback control of mechatronic systems under different parameter values and noise intensities. The evaluation results show that, due to the nonlinearity of AG-PSMF, four performance measurements, i.e., transient time, overshoot magnitude, tracking error and computational time, vary widely under different conditions. Based on the evaluation results, the paper provides practical tuning guidelines for AG-PSMF to balance the tradeoff among the four measurements. The effectiveness of the guidelines is validated through numerical examples. View Full-Text
Keywords: adaptive gain; sliding mode filter; nonlinear filter; tuning guideline adaptive gain; sliding mode filter; nonlinear filter; tuning guideline
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Jin, S.; Wang, X.; Jin, Y.; Xiong, X. Tuning Guidelines for an Adaptive-Gain Parabolic Sliding Mode Filter. Appl. Sci. 2017, 7, 209.

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