Paper
6 April 2009 Nonlinear MR model inversion for semi-active control enhancement
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Abstract
The increased prevalence of semi-active control systems is largely due to the emergence of cost effective commercially available controllable damper technology such as Magneto-Rheological (MR) devices. Unfortunately, MR dampers are highly nonlinear, which presents an often over-looked complexity to the control system designer. The well-known Skyhook Damping control algorithm has enjoyed great success for both fully active and semi-active control problems. The Skyhook design strategy is to create a control force that emulates what a passive linear damper would create when connected to an inertial reference frame. Skyhook control is device independent since it generates a desired control force command output that must be produced by the control system. For simplicity, MR dampers are often assumed to have a linear relationship between the current input and the force output at a given relative velocity. Often this assumption is made implicitly and without knowledge of the underlying nonlinearity. In this paper, we show that the overall performance of a semi-active Skyhook control system can be improved by explicitly inverting the nonlinear relationship between input current and output force. The proposed modification will work with any semi-active control algorithm, such as Skyhook, to insure that the controller performance is at least as good as the performance without the proposed modification. This technique is demonstrated through simulation on a quarter-vehicle system.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Reader, Steve C. Southward, and Mehdi Ahmadian "Nonlinear MR model inversion for semi-active control enhancement", Proc. SPIE 7288, Active and Passive Smart Structures and Integrated Systems 2009, 72880P (6 April 2009); https://doi.org/10.1117/12.817631
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Cited by 1 scholarly publication.
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KEYWORDS
Control systems

Data modeling

Amplifiers

Systems modeling

Device simulation

Algorithm development

Control systems design

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