Paper Details: Downloads: 500
Serial Number: P1111025142
Title: Forward and Inverse Fuzzy Magnetorheological Damper Models for Control Purposes
Authors: M.A. Eltantawie
Abstract: The magnetorheological (MR) damper behavior is described by a set of nonlinear differential equations, which are unsuitable in control applications. This paper illustrates the effectiveness of adaptive neuro fuzzy inference system (ANFIS) in building both forward and inverse MR damper models. The forward model is obtained by training noisy data generated from simulation of the nonlinear differential equations with low pass filter. Input selection method is applied to find the most appropriate inputs to train the inverse model. Finally, the numerical simulation proves that the two models established based on ANFIS can track the MR damper force for different amplitude and frequency. In addition, we can predict the voltage required to be applied to produce a known force determined from control law with high performance.
Keywords: ANFIS, Forward fuzzy model, Inverse fuzzy model, Magnetorheological damper
Journal/Conference: International Journal of Automatic Control and System Engineering
Volume: 10
Issue: 2
Submission Date: 6/12/2010 12:00:00 AM
Review Date: 8/22/2010 12:00:00 AM
Publishing Date: 8/31/2010 12:00:00 AM
Article Downloads: 500
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