NDLI: A Wavelet-Based Smooth Variable Structure Filter

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Zhang, William Gadsden, S. Andrew Saeid, R. Habibi
Copyright Year	2012
Abstract	For linear and well-defined estimation problems with Gaussian noise, the Kalman filter (KF) yields the best result in terms of estimation accuracy. However, the KF performance degrades and can fail in cases involving large uncertainties such as modeling errors in the estimation process. The smooth variable structure filter (SVSF) is a model-based estimation method built on sliding mode theory with excellent robustness to modeling uncertainties. Wavelet theory has attracted interest as a powerful tool for signal and image processing, and can be used to further improve estimation accuracy. In this paper, a new filtering strategy based on stationary wavelet theory and the smooth variable structure filter is proposed. This strategy, referred to as W-SVSF, is applied on an electrohydrostatic actuator (EHA) for the purposes of state estimation. The results of the W-SVSF are compared with the standard KF, SVSF, and combined W-KF.
Sponsorship	Dynamic Systems and Control Division
Starting Page	649
Ending Page	655
Page Count	7
File Format	PDF
ISBN	9780791845295
DOI	10.1115/DSCC2012-MOVIC2012-8838
Volume Number	Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control
Conference Proceedings	ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
Language	English
Publisher Date	2012-10-17
Publisher Place	Fort Lauderdale, Florida, USA
Access Restriction	Subscribed
Subject Keyword	Actuators Uncertainty Filtration Image processing Modeling Noise (sound) Wavelets Errors Filters Robustness Signals Kalman filters State estimation
Content Type	Text
Resource Type	Article

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