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Vehicle Yaw Stability Model Predictive Control Strategy for Dynamic and Multi-Objective Requirements Jilin University

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Wang, Hanlin, author.
Contributor:
Chen, Zhicheng
He, Rui
Li, Haiqiao
Wu, Jian
Conference Name:
WCX SAE World Congress Experience (2024-04-16 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2024
Summary:
Vehicle yaw stability control (YSC) can actively adjust the working state of the chassis actuator to generate a certain additional yaw moment for the vehicle, which effectively helps the vehicle maintain good driving quality under strong transient conditions such as high-speed turning and continuous lane change. However, the traditional YSC pursues too much driving stability after activation, ignoring the difference of multi-objective requirements of yaw maneuverability, actuator energy consumption and other requirements in different vehicle stability states, resulting in the decline of vehicle driving quality. Therefore, a vehicle yaw stability model predictive control strategy for dynamic and multi-objective requirements is proposed in this paper. Firstly, the unstable characteristics of vehicle motion are analyzed, and the nonlinear two-degree-of-freedom vehicle dynamics models are established respectively. Secondly, the vehicle yaw stability control strategy is designed: The two-line method is used to extract the boundary of phase portrait. On this basis, the geometric distance quantization method is applied to establish the dynamic mapping relationship between the multi-objective requirements of driving stability, yaw maneuverability, actuator energy consumption and the weight of YSC cost function in different vehicle stability states. The model predictive theory and rule-based single wheel differential braking technology are applied to achieve vehicle stability control. Finally, a joint simulation platform is built based on vehicle dynamics simulation software CarSim and MATLAB/Simulink for testing and verification. The simulation results show that the YSC designed in this paper can adaptively adjust the controller output according to the dynamic multi-objective requirements in different vehicle stability states, and effectively improve the driving quality of the vehicle under strong transient conditions
Notes:
Vendor supplied data
Publisher Number:
2024-01-2324
Access Restriction:
Restricted for use by site license

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