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基于稳定状态预测的汽车侧向稳定性控制
Lateral stability control based on the prediction of vehicle’s stable state
【摘要】 为提高汽车行驶的侧向稳定性,设计了一种考虑车辆稳定状态趋势的新型线性时变模型预测控制(LTV-MPC)方法。该方法利用模型预测控制的转角优化序列对汽车稳定状态趋势进行预测,并基于预测的车辆稳定状态调整轮胎侧偏刚度,实现汽车的侧向稳定性控制。仿真结果表明,该方法能够提高主动前轮转向汽车的侧向稳定性,降低控制器的计算负担。
【Abstract】 In order to improve the lateral stability of the vehicle,this paper designs a new linear time-varying model predictive control(LTV-MPC)method that considers the steady state trend of the vehicle.In this method,the steering angle optimization sequence of model predictive control is used to predict the steady state trend of the vehicle,and the tire cornering stiffness is adjusted based on the predicted steady state of the vehicle to realize the lateral stability control of the vehicle.The simulation results show that this method can improve the lateral stability of active front-wheel steering vehicles and reduce the computational burden of the controller.
【Key words】 vehicle lateral stability control; model predictive control; steady state prediction; active front steering;
- 【文献出处】 长春工业大学学报 ,Journal of Changchun University of Technology , 编辑部邮箱 ,2021年05期
- 【分类号】U461.6
- 【被引频次】2
- 【下载频次】134