Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIEA.2011.5975786
Title: A novel yaw stabilization control system for in-wheel motor driven electric vehicle
Authors: Yinghui, G.
Chang, C. 
Keywords: computational intelligence
Electric vehicle
sliding mode control
yaw control
Issue Date: 2011
Source: Yinghui, G.,Chang, C. (2011). A novel yaw stabilization control system for in-wheel motor driven electric vehicle. Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 : 1293-1296. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIEA.2011.5975786
Abstract: This paper proposes a yaw stabilization control system for in-wheel motor driven electric vehicle (EV), which integrates a computational-intelligence (CI) based controller, a sliding mode based training system, and a bang-bang based torque controller. The parameter adjustment coefficient of CI system is trained by using the sliding mode control. Therefore, the controller guarantees the EV movements follow the ideal yaw moving tracks, and alleviates the drawback of chattering occurring in the classical sliding mode control. Moreover, the robustness of systems is improved. Numerical results provided in the paper validate the proposed model and method. © 2011 IEEE.
Source Title: Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/68997
ISBN: 9781424487554
DOI: 10.1109/ICIEA.2011.5975786
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