Vehicle Stability Control Based on Model Predictive Control Considering the Changing Trend of Tire Force Over the Prediction Horizon
Vehicle Stability Control Based on Model Predictive Control Considering the Changing Trend of Tire Force Over the Prediction Horizon
复制标题
考虑预测范围内轮胎受力变化趋势的基于模型预测控制的车辆稳定性控制
DOI：
10.1109/access.2018.2889997
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发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
Cui Gaojian
中科院分区：
文献类型：
--
作者：
Li Shaosong;Wang Guodong;Zhang Bangcheng;Yu Zhixin;Cui Gaojian
为了提高主动前轮转向汽车的操纵稳定性，在汽车动力学极限下，提出了一种基于时变模型预测控制的汽车稳定性控制方法。基于轮胎力在预测时域内的变化趋势，设计了控制器的预测方程。因此，预测方程可以反映预测过程中的非线性特征。为了验证所提出的控制策略的有效性，非线性模型预测控制器，和以前的线性时变模型预测控制器的设计和使用进行比较。在MATLAB和CarSim联合仿真环境下进行了仿真实验。在操纵极限，所提出的控制器的控制性能表现出显着的改善相比，以前的。其性能接近非线性控制器，而计算速度远快于非线性模型预测控制器。
This paper proposes a vehicle stability control approach based on time-varying model predictive control to enhance the handling and stability of active front steering vehicle at the vehicle dynamics limits. The prediction equation of the proposed controller is designed based on the changing trend of tire force over the prediction horizon. Therefore, the prediction equation can represent the nonlinear characteristics in the process of prediction. To verify the effectiveness of the proposed control strategy, nonlinear model predictive controller, and previous linear time-varying model predictive controller are designed and used for comparison. Simulation experiments are performed based on the cosimulation environment of MATLAB and CarSim. At the handling limits, the control performance of the proposed controller exhibited significant improvement compared with the previous one. Moreover, its performance was close to that of the nonlinear controller, whereas its calculation speed is much faster than that of the nonlinear model predictive controller.
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影响因子：
1.6
作者：
Y. Xu;M. Ahmadian
通讯作者：
Y. Xu;M. Ahmadian
DOI：
10.1109/ccdc.2014.6852504
发表时间：
2014-07
期刊：
The 26th Chinese Control and Decision Conference (2014 CCDC)
影响因子：
--
作者：
Yan Ji;Hongyan Guo;Hong Chen
通讯作者：
Yan Ji;Hongyan Guo;Hong Chen
影响因子：
4.8
作者：
Di Cairano, Stefano;Tseng, Hongtei Eric;Bemporad, Alberto
通讯作者：
Bemporad, Alberto
影响因子：
3.9
作者：
Falcone, P.;Borrelli, F.;Hrovat, D.
通讯作者：
Hrovat, D.
影响因子：
6.8
作者：
Choi, Mooryong;Choi, Seibum B.
通讯作者：
Choi, Seibum B.