On self-sensing actuators for electrohydraulic valves: Comparisons between boxcar window Observer and Kalman Filter

Qinghui Yuan, Perry Y. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Self-sensing refers to extracting the position information from the electromagnetic signals instead of from a physical position sensor. Self-sensing actuator has the benefit of significantly reducing hardware effort. In this paper, we investigate two types of observers: Boxcar Window Observer and Kalman Filter. The performance of both observers has been compared in simulation and experimentally.

Original languageEnglish (US)
Title of host publicationAmerican Society of Mechanical Engineers, The Fluid Power and Systems Technology Division, FPST
Pages157-164
Number of pages8
DOIs
StatePublished - Dec 1 2005
Event2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005 - Orlando, FL, United States
Duration: Nov 5 2005Nov 11 2005

Publication series

NameAmerican Society of Mechanical Engineers, The Fluid Power and Systems Technology Division, FPST
Volume12 FPST

Other

Other2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005
Country/TerritoryUnited States
CityOrlando, FL
Period11/5/0511/11/05

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