Abstract
A direct yaw moment control system using fuzzy logic is developed for 4 wheel drive electric vehicle (4WD-EV). The upper layer of the controller is a fuzzy PI controller to calculate desired yaw moment, inputs are the errors between the actual value and reference of side slip angle and yaw rate; the under layer distribute the torque properly on each wheel applying fuzzy logic rules, the rules are made in consideration of the contribution of each wheel to the required yaw moment and the driving limit of the vehicle. A vehicle dynamics model is established using ADAMS/Car, and co-simulation is carried out with the control system established in MATLAB/Simulink. The results show that the control system can effectively improve vehicle’s handling and stability in different situations.
The Project was Supported by the Key Laboratory of Expressway Construction Machinery of Shaanxi Province, 300102259513.
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Yaping, W., Liping, Z., Sen, C., Zheng, Z. (2019). Co-simulation Based on ADAMS and Simulink for Direct Yaw Moment Control System of 4WD-EV. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11745. Springer, Cham. https://doi.org/10.1007/978-3-030-27529-7_50
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DOI: https://doi.org/10.1007/978-3-030-27529-7_50
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