Robust fault diagnosis of an electro-hydrostatic actuator using the Novel dynamic second-order SVSF and IMM strategy

Authors

  • Hamed H. Afshari Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada
  • Stephen Andrew Gadsden Department of Mechanical Engineering, University of Maryland, Baltimore County, Maryland, USA
  • Saeid R. Habibi Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada

DOI:

https://doi.org/10.1080/14399776.2014.981134

Keywords:

Smooth variable structure filter, dynamic sliding mode systems, interacting multiple model, fault detection and diagnosis, hydrostatic actuator

Abstract

This paper introduces a new robust fault detection and identification (FDI) structure applied to an electro-hydrostatic actuator (EHA) experimental setup. This FDI structure consists of the dynamic second-order smooth variable structure filter (Dynamic second-SVSF) and the interacting multiple model (IMM) strategy. The dynamic second-order smooth variable structure filter (SVSF) is a new robust-state estimation method that benefits from the robustness and chattering suppression properties of second-order sliding mode systems. It produces robust-state estimation by preserving the first and secondorder sliding conditions such that the measurement error and its first difference are pushed towards zero. Moreover, the EHA prototype works under two different operational regimes that are the normal EHA mode and the faulty EHA mode. The faulty EHA setup contains two types of faults, namely friction and internal leakage. The FDI structure contains a bank of dynamic second-order SVSFs estimating state variables based on these models. The IMM strategy combines these filters in parallel and determines the particular operating regime based on the system models and the input-output data. Experimental results demonstrate superior performance in terms of accuracy, robustness, and smoothness of state estimates.

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Author Biographies

Hamed H. Afshari, Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada

Hamed H. Afshari is currently a Ph.D. candidate at McMaster University, and a research assistant with the Centre for Mechatronics and Hybrid Technology (CMHT). His research involves fault detection and prognostics in control systems, as well as advanced state and parameter estimation methods. Prior to joining CMHT, he obtained a M.Sc. degree in Aerospace Engineering from the University of Technology in Tehran, Iran. His research was in the area of flight dynamics and control. Hamed is a student member of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronics Engineers (IEEE).

Stephen Andrew Gadsden, Department of Mechanical Engineering, University of Maryland, Baltimore County, Maryland, USA

Stephen Andrew Gadsden is currently an Assistant Professor in the Department of Mechanical Engineering at the University of Maryland, Baltimore County. Andrew obtained his Ph.D. in the area of state and parameter estimation theory in 2011 from the Department of Mechanical Engineering at McMaster University, Canada. His work involved an optimal realization and further advancement of the smooth variable structure filter (SVSF). His background includes a broad consideration of state and parameter estimation strategies, the variable structure theory, fault detection and diagnosis, mechatronics, target tracking, cognitive systems, and neural networks. He is the recipient of a number of professional and scholarly awards, and was a postdoctoral Fellow with the Centre for Mechatronics and Hybrid Technology at McMaster. Andrew is an Associate Editor of the Transactions of the Canadian Society for Mechanical Engineering, and is a member of the Professional Engineers of Ontario (PEO) and the Ontario Society of Professional Engineers (OSPE). He is also a member of the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), and the Project Management Institute (PMI).

Saeid R. Habibi, Department of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada

Saeid R. Habibi is currently a Professor in the Department of Mechanical Engineering at McMaster University. Saeid obtained his Ph.D. in Control Engineering from the University of Cambridge, U.K. His academic background includes research into intelligent control, state and parameter estimation, fault diagnosis and prediction, variable structure systems, and fluid power. The application areas for his research have included aerospace, automotive, water distribution, robotics, and actuation systems. He spent a number of years in industry as a Project Manager and Senior Consultant for Cambridge Control Ltd, U.K., and as Senior Manager of Systems Engineering for AlliedSignal Aerospace Canada. He received two corporate awards for his contributions to the AlliedSignal Systems Engineering Process in 1996 and 1997. He was the recipient of the Institution of Electrical Engineers (IEE) F.C. Williams best paper award in 1992 for his contribution to variable structure systems theory. He was also awarded an NSERC Canada International Postdoctoral Fellowship that he held at the University of Toronto from 1993 to 1995, and more recently a Boeing Visiting Scholar sponsorship for 2005. Saeid is on the Editorial Board of the Transactions of the Canadian Society of Mechanical Engineers and is a member of IEEE, ASME, and the ASME Fluid Power Systems Division Executive Committee.

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Published

2018-12-29

How to Cite

Afshari, H. H., Gadsden, S. A., & Habibi, S. R. (2018). Robust fault diagnosis of an electro-hydrostatic actuator using the Novel dynamic second-order SVSF and IMM strategy. International Journal of Fluid Power, 15(3), 181–196. https://doi.org/10.1080/14399776.2014.981134

Issue

2014: Vol 15 Iss 3

Section

Original Article