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| Content Provider | Springer Nature Link |
|---|---|
| Author | Dahmani, Hamid Chadli, Mohammed Rabhi, Abdelhamid Hajjaji, Ahmed |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 93 |
| Ending Page | 101 |
| Page Count | 9 |
| File Format | |
| ISSN | 14768186 |
| Journal | International Journal of Automation and Computing |
| Volume Number | 12 |
| Issue Number | 1 |
| e-ISSN | 17518520 |
| Language | English |
| Publisher | Institute of Automation, Chinese Academy of Sciences |
| Publisher Date | 2015-02-11 |
| Publisher Place | Beijing |
| Access Restriction | Subscribed |
| Subject Keyword | Vehicle rollover vehicle dynamics Takagi-Sugeno (T-S) fuzzy model observer uncertainties Lyapunov method linear matrix inequalities (LMI) Control, Robotics, Mechatronics Computer Applications Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications |
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