卡西姆
控制理论(社会学)
扭矩
控制器(灌溉)
工程类
碰撞
计算机科学
汽车工程
控制(管理)
车辆动力学
农学
计算机安全
生物
热力学
物理
人工智能
作者
Changhao Piao,Xu Han,Junren Shi,Tai Li
出处
期刊:Lecture notes in electrical engineering
日期:2023-01-01
卷期号:: 187-195
标识
DOI:10.1007/978-981-99-1252-0_23
摘要
In order to improve the active safety performance of vehicles with frequent load changes such as new energy logistics vans, a hierarchical control strategy is proposed to fully consider the vehicle load changes while ensuring that wheel locking is avoided in the active braking process. In this paper, the upper layer controller firstly determines the current maximum braking torque of the vehicle based on fuzzy control rules, uses the least recursive squares method with the forgetting factor to estimate the load mass of the vehicle, and sets the collision time threshold in the TTC model as a dynamic value to adapt to the different load conditions of the vehicle according to the maximum deceleration value that can be achieved by the maximum braking torque under different load conditions. The lower-level controller adjusts the target braking torque through slip rate feedback and actual deceleration to achieve closed-loop torque control. It is proved by the joint simulation of CarSim and Simulink and the real vehicle test that the control strategy can effectively avoid the vehicle collision under the CCRs condition and the braking on time is more reasonable.
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