Hierarchical fuzzy identification of MR damper

Hao Wang; Haiyan Hu

doi:10.1117/12.843077

20 October 2009 Hierarchical fuzzy identification of MR damper

Hao Wang, Haiyan Hu

Proceedings Volume 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering; 74930V (2009) https://doi.org/10.1117/12.843077
Event: Second International Conference on Smart Materials and Nanotechnology in Engineering, 2009, Weihai, China

Abstract

Magneto-rheological (MR) dampers, recently, have found many successful applications in civil engineering and numerous area of mechanical engineering. When an MR damper is to be used for vibration suppression, an inevitable problem is to determine the input voltage so as to gain the desired restoring force determined from the control law. This is the so-called inverse problem of MR dampers and is always an obstacle in the application of MR dampers to vibration control. It is extremely difficult to get the inverse model of MR damper because MR dampers are highly nonlinear and hysteretic. When identifying the inverse model of MR damper with simple fuzzy system, there maybe exists curse of dimensionality of fuzzy system. Therefore, it will take much more time, and even the inverse model may not be identifiable. The paper presents two-layer hierarchical fuzzy system, that is, two-layer hierarchical ANFIS to deal with the curse of dimensionality of the fuzzy identification of MR damper and to identify the inverse model of MR damper. Data used for training the model are generated from numerical simulation of nonlinear differential equations. The numerical simulation proves that the proposed hierarchical fuzzy system can model the inverse model of MR damper much more quickly than simple fuzzy system without any reduction of identification precision. Such hierarchical ANFIS shows the higher priority for the complicated system, and can also be used in system identification and system control for the complicated system.

Citation Download Citation

Hao Wang and Haiyan Hu "Hierarchical fuzzy identification of MR damper", Proc. SPIE 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering, 74930V (20 October 2009); https://doi.org/10.1117/12.843077

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