NDLI: Investigation of a High Precision Hydrostatic Actuation System: How Nonlinearities Affect Its Performance

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Li, Wei Burton, Richard Habibi, Saeid
Copyright Year	2007
Abstract	A prototype Electro-Hydraulic Actuator (EHA) system has demonstrated a positional accuracy in the order of 100 nanometer. Linearized models of the EHA have been formulated and have shown reasonable correlation to the performance of the physical EHA. However, these models predict zero steady state error (an impossible situation given the physical limitations of seals, friction etc.). Further, the prototype EHA indicates that the cut-off frequency decreases as the amplitude of the input signal decreases. This is not predicted by the linear models. In this paper the Bond-graph large scale modeling technique was used as the basis to formulate the describing equations of the EHA. The model was made increasingly more complex by introducing observable nonlinearities into the model. It was found that the introduction of nonlinear friction did show results whose trends were consistent with those observed experimentally. Assumed nonlinearities in the bulk modulus could not be substantiated. In addition, some of the observed experimental trends could not be predicted (such as order change) and pose additional challenges to be solved before a complete understanding of the true physics of the EHA can be realized.
Starting Page	175
Ending Page	183
Page Count	9
File Format	PDF
ISBN	0791842983
DOI	10.1115/IMECE2007-41650
e-ISBN	0791838129
Volume Number	Volume 4: Design, Analysis, Control and Diagnosis of Fluid Power Systems
Conference Proceedings	ASME 2007 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2007-11-11
Publisher Place	Seattle, Washington, USA
Access Restriction	Subscribed
Subject Keyword	Actuators Errors Hydrostatics Friction Signals Engineering prototypes Modeling Steady state Bulk modulus Physics
Content Type	Text
Resource Type	Article

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