Nonlinear Fault Detection for Hydraulic Systems

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Item Metadata Leuschen, Martin L.
Walker, Ian D.
Cavallaro, Joseph R. 2012-06-06T15:23:02Z 2012-06-06T15:23:02Z 2003-01-01
dc.identifier.issn 10.1007/3-540-45737-2_6
dc.description.abstract One of the most important areas in the robotics industry is the development of robots capable of working in hazardous environments. As humans cannot safely or cheaply work in these environments, providing a high level of robotic functionality is important. Our work in this area focuses on a fault detection method known as analytical redundancy, or AR. In this paper we discuss the application to a hydraulic servovalve system of our novel rigorous nonlinear AR technique. AR is a model-based state-space technique that is theoretically guaranteed to derive the maximum number of independent tests of the consistency of sensor data with the system model and past control inputs. Conventional linear AR is only valid for linear sampled data systems. However, our new nonlinear AR (NLAR) technique maintains traditional linear AR’s mathematical guarantee to generate the maximum possible number of independent tests in the nonlinear domain. Thus NLAR allows us to gain the benefits of AR testing for nonlinear systems with both continuous and sampled data.
dc.language.iso eng
dc.publisher Springer-Verlag Berlin Heidelberg
dc.subject robotics
analytical redundancy (AR)
hydraulic servovalve
dc.title Nonlinear Fault Detection for Hydraulic Systems
dc.type Book chapter Center for Multimedia Communication
dc.citation.volumeNumber 1/2003
dc.citation.pageNumber 169-191
dc.type.dcmi Text
dc.identifier.citation M. L. Leuschen, I. D. Walker and J. R. Cavallaro, "Nonlinear Fault Detection for Hydraulic Systems," vol. 1/2003, pp. 169-191, 2003.

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  • ECE Publications [1053 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275 items]
    Publications by Rice Faculty and graduate students in multimedia communications