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Intelligent semi-active vibration control of eleven degrees of freedom suspension system using magnetorheological dampers

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Abstract

A novel intelligent semi-active control system for an eleven degrees of freedom passenger car’s suspension system using magnetorheological (MR) damper with neuro-fuzzy (NF) control strategy to enhance desired suspension performance is proposed. In comparison with earlier studies, an improvement in problem modeling is made. The proposed method consists of two parts: a fuzzy control strategy to establish an efficient controller to improve ride comfort and road handling (RCH) and an inverse mapping model to estimate the force needed for a semi-active damper. The fuzzy logic rules are extracted based on Sugeno inference engine. The inverse mapping model is based on an artificial neural network and incorporated into the fuzzy controller to enhance RCH. To verify the performance of the NF controller (NFC), comparisons with existing semi-active techniques are made. The typical control strategy are linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) controllers with clipped optimal control algorithm, while inherent time-delay and non-linear properties of MR damper lie in these strategies. Simulation results demonstrated that the NFC has better control 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, Tehran, Iran

    Seiyed Hamid Zareh, Atabak Sarrafan, Amir Ali Akbar Khayyat & Abolghassem Zabihollah

Authors
  1. Seiyed Hamid Zareh
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  2. Atabak Sarrafan
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  3. Amir Ali Akbar Khayyat
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  4. Abolghassem Zabihollah
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Correspondence to Seiyed Hamid Zareh.

Additional information

This paper was recommended for publication in revised form by Associate Editor Hyoun Jin Kim

Seiyed Hamid Zareh is a MSc. Student in Mechatronics at Sharif University of Technology, School of Science and Engineering, Iran. He was born in 1983 and also graduated in mechanical engineering in 2004 at Imam Hossein University of Tehran, Iran.

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Zareh, S.H., Sarrafan, A., Khayyat, A.A.A. et al. Intelligent semi-active vibration control of eleven degrees of freedom suspension system using magnetorheological dampers. J Mech Sci Technol 26, 323–334 (2012). https://doi.org/10.1007/s12206-011-1007-6

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  • DOI: https://doi.org/10.1007/s12206-011-1007-6

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