Open AccessStratified Control Strategy of Vehicle Longitudinal Active Collision Avoidance
Author(s) -
Kaimei Zhang,
Wenjing Liu,
Jiuru Li,
Lei Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1735/1/012003
Subject(s) - control theory (sociology) , carsim , collision avoidance , brake , pid controller , collision , controller (irrigation) , active safety , automotive engineering , engineering , computer science , simulation , vehicle dynamics , control (management) , control engineering , temperature control , agronomy , computer security , artificial intelligence , biology
In order to improve the safety and real-time performance of vehicle longitudinal active collision avoidance, a layered collision avoidance control method based on warning value, standard collision time safety model TTC and fuzzy PID is proposed in this paper. Based on the collision time safety model, the upper controller obtains the braking deceleration of the vehicle according to the relative speed and relative displacement of the obstacle in front. The lower controller is based on fuzzy PID, according to the brake deceleration speed of the upper vehicle, by controlling the pressure of the brake master cylinder of the vehicle, the control of vehicle speed is realized. Finally, using the CarSim/Simulink co-simulation platform, and taking the straight-line working condition as an example, the collision avoidance effect of the controlled vehicle under different speeds was simulated and verified. The results show that the upper controller can afford the appropriate speed of collision avoidance and deceleration according to the reference information, and the lower controller can adjust the brake deceleration speed according to the fuzzy PID, so as to realize the vehicle braking pressure, meet the requirements of longitudinal active collision avoidance.