Volume 12 Number 1
February 2015
Article Contents
Hamid Dahmani, Mohammed Chadli, Abdelhamid Rabhi and Ahmed El Hajjaji. Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer. International Journal of Automation and Computing, vol. 12, no. 1, pp. 93-101, 2015. doi: 10.1007/s11633-014-0836-z
Cite as: Hamid Dahmani, Mohammed Chadli, Abdelhamid Rabhi and Ahmed El Hajjaji. Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer. International Journal of Automation and Computing, vol. 12, no. 1, pp. 93-101, 2015. doi: 10.1007/s11633-014-0836-z

Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer

  • Received: 2012-02-20
Fund Project:

This work was supported by the “Conseil Ré

gional de Picardie” and the European Regional Development Fund within the framework of the project “SEDVAC”.

  • This article describes a method of vehicle dynamics estimation for impending rollover detection. We estimate vehicle dynamic states in presence of the road bank angle as a disturbance in the vehicle model using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate rollover detection, a new method is proposed to compute the time to rollover (TTR) using the load transfer ratio (LTR). The nonlinear model, deduced from the vehicle lateral and roll dynamics, is represented by a Takagi-Sugeno (T-S) fuzzy model. This representation is used to account for the nonlinearities of lateral cornering forces. The proposed T-S observer is designed with unmeasurable premise variables to cater for non-availability of the slip angles measurement. The proposed approach is evaluated using CarSim simulator under different driving scenarios. Simulation results show good efficiency of the proposed T-S observer and the rollover detection method.
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Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer

Fund Project:

This work was supported by the “Conseil Ré

gional de Picardie” and the European Regional Development Fund within the framework of the project “SEDVAC”.

Abstract: This article describes a method of vehicle dynamics estimation for impending rollover detection. We estimate vehicle dynamic states in presence of the road bank angle as a disturbance in the vehicle model using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate rollover detection, a new method is proposed to compute the time to rollover (TTR) using the load transfer ratio (LTR). The nonlinear model, deduced from the vehicle lateral and roll dynamics, is represented by a Takagi-Sugeno (T-S) fuzzy model. This representation is used to account for the nonlinearities of lateral cornering forces. The proposed T-S observer is designed with unmeasurable premise variables to cater for non-availability of the slip angles measurement. The proposed approach is evaluated using CarSim simulator under different driving scenarios. Simulation results show good efficiency of the proposed T-S observer and the rollover detection method.

Hamid Dahmani, Mohammed Chadli, Abdelhamid Rabhi and Ahmed El Hajjaji. Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer. International Journal of Automation and Computing, vol. 12, no. 1, pp. 93-101, 2015. doi: 10.1007/s11633-014-0836-z
Citation: Hamid Dahmani, Mohammed Chadli, Abdelhamid Rabhi and Ahmed El Hajjaji. Detection of Impending Vehicle Rollover with Road Bank Angle Consideration Using a Robust Fuzzy Observer. International Journal of Automation and Computing, vol. 12, no. 1, pp. 93-101, 2015. doi: 10.1007/s11633-014-0836-z
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