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Semi-active vibration control of an eleven degrees of freedom suspension system using neuro inverse model of magnetorheological dampers

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Abstract

A semi-active controller-based neural network for a suspension system with magnetorheological (MR) dampers is presented and evaluated. An inverse neural network model (NIMR) is constructed to replicate the inverse dynamics of the MR damper. The typical control strategies are linear quadratic regulator (LQR) and linear quadratic gaussian (LQG) controllers with a clipped optimal control algorithm, while inherent time-delay and non-linear properties of MR damper lie in these strategies. LQR part of LQG controller is also designed to produce the optimal control force. The LQG controller and the NIMR models are linked to control the system. The effectiveness of the NIMR is illustrated and verified using simulated responses of a full-car model. The results demonstrate that by using the NIMR model, the MR damper force can be commanded to follow closely the desirable optimal control force. The results also show that the control system is effective and achieves better performance and less control effort than the optimal in improving the service life of the suspension system and the ride comfort of a car.

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Authors and Affiliations

  1. School of Science and Engineering, Sharif University of Technology, Sharif, Iran

    Seiyed Hamid Zareh, Meisam Abbasi & Kambiz Ghaemi Osgouie

  2. Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

    Hadi Mahdavi

Authors
  1. Seiyed Hamid Zareh
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  2. Meisam Abbasi
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  3. Hadi Mahdavi
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  4. Kambiz Ghaemi Osgouie
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Corresponding author

Correspondence to Seiyed Hamid Zareh.

Additional information

Recommended by Associate Editor Hyoun Jin Kim

Seiyed Hamid Zareh was born in 1983 and received his B.Sc. degree from the Technical Faculty of Imam Hossein University, Tehran, Iran, in 2006 and his M.Sc. degree from School of Science and Engineering of Sharif University of Technology, Iran, in 2011, all in mechanical and mechatronics engineering. This author became a member of IEEE in 2011. His research interests are mechatronics system, smart materials and structures, automatic control, and intelligent control. He has one book in the field of oil and gas with the title of “Storage Tank Design”, (2005) and one book chapter (2011). He also published four journal and twelve international conference papers. Mr. Zareh is also a member of American Society of Mechanical Engineers (ASME) and Iranian Society of Mechanical Engineers (ISME). He received oral presentation awards at the 2nd, 3rd and 4th symposium in research week in 2009, 2010, 2011 and technical presentation in Singapore 2009, respectively.

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Zareh, S.H., Abbasi, M., Mahdavi, H. et al. Semi-active vibration control of an eleven degrees of freedom suspension system using neuro inverse model of magnetorheological dampers. J Mech Sci Technol 26, 2459–2467 (2012). https://doi.org/10.1007/s12206-012-0628-8

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  • DOI: https://doi.org/10.1007/s12206-012-0628-8

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