Applied Sciences (Nov 2020)

Stability Control for Vehicle Dynamic Management with Multi-Objective Fuzzy Continuous Damping Control

  • Xu Zhang,
  • Chuanxue Song,
  • Shixin Song,
  • Jingwei Cao,
  • Silun Peng,
  • Chunyang Qi,
  • Feng Xiao,
  • Da Wang

DOI
https://doi.org/10.3390/app10217923
Journal volume & issue
Vol. 10, no. 21
p. 7923

Abstract

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Vehicle dynamic management (VDM) is a vehicle chassis integrated control system based on electronic stability program (ESP) and continuous damping control (CDC) that has been developed in recent years. In this work, the ideal yaw angle rate and sideslip angle of the mass center are calculated deriving an ideal monorail model with two degrees of freedom. Then, a direct yaw moment proportional-integral-differential control strategy for ESP is proposed as the foundation of VDM. In addition, a multi-objective fuzzy continuous damping control (MFCDC) is proposed to achieve comfort, handling stability, and rollover prevention. The effect of the MFCDC strategy is analyzed and verified through a sine wave steer input test, double line change test, and fishhook test. The results indicate that MFCDC-ESP has a significant advantage in preventing rollover. MFCDC-ESP can maintain the optimized distribution of damping force through its own compensation under possible instability and predict the critical stable state to some extent. MFCDC-ESP exhibits strong real-time sensitivity to the control state of the damping force of each wheel. Hence, it can ensure the comfort of passengers under good driving conditions and exert strong adaptability and control effects under extreme working conditions.

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