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作 者:焦卓彬 刘美琴 Jiao Zhuobin;Liu Meiqin
机构地区:[1]太原科技大学车辆与交通工程学院,山西太原030024
出 处:《时代汽车》2024年第17期109-111,共3页Auto Time
摘 要:随着汽车工业的迅猛发展和人们对交通安全要求的不断提高,汽车主动安全系统成为研究热点,传统的被动安全系统,如安全带、气囊等,虽然能够在事故发生时保护乘员,但其作用有限,且无法避免事故的发生。因此,汽车主动安全系统应运而生,其目标是通过先进的传感器、控制器和执行机构,主动干预车辆运行,预防和减少交通事故的发生。本文研究基于模型预测控制的汽车主动安全系统仿真,旨在通过MPC的实时优化能力,提升车辆在不同驾驶环境下的安全性和稳定性。With the rapid development of the automobile industry and the continuous improvement of people's requirements for traffic safety,the active safety system of automobiles has become a research hotspot.The traditional passive safety systems,such as seat belts and airbags,can protect the occupants in the event of an accident,but their role is limited and the accident cannot be avoided.Therefore,the automotive active safety system came into being,and its goal is to actively intervene in vehicle operation through advanced sensors,controllers and actuators to prevent and reduce the occurrence of traffic accidents.In this paper,the simulation of automotive active safety system based on model predictive control is studied,aiming to improve the safety and stability of vehicles in different driving environments through the real-time optimization capability of MPC.
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