Author(s)

Wei Zhan

Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX, USA.

The dependency of the steady-state yaw rate model on vehicle weight and its distribution is studied in this paper. A speed-dependent adjustment of the yaw rate model is proposed to reduce the yaw rate estimation error. This new methodology allows the calibration engineer to minimize the yaw rate estimation error caused by the different weight conditions without going through the calibration process multiple times. It is expected that this modified yaw rate model will improve the performance of Electronic Stability Control (ESC) systems such as response time and robustness.

Yaw Rate Estimation, Vehicle Dynamics, Concerning Coefficient

Zhan, W. (2017) A New Methodology for Reducing Yaw Rate Estimation Error. World Journal of Engineering and Technology, 5, 12-20. doi: 10.4236/wjet.2017.51002.