The technical scheme of the invention relates to the technical field of control and adjustment, in particular to a crawler-type
articulated vehicle braking system applied to a low-temperature environment. Through multi-module collaborative optimization and a closed-
loop control mechanism, the problems of unbalanced dynamic distribution of braking force, insufficient redundancy
fault tolerance and
signal distortion under the low-temperature working condition are solved. The
data acquisition module is used for acquiring a hinging angle, an
inertial measurement unit attitude, a braking temperature and a vehicle state
signal in real time; the optimization control module performs multi-objective optimization on the dynamic
weight coefficient, the redundancy switching threshold value and the
fuzzy rule parameter based on a
genetic algorithm to generate a
weight distribution scheme of a
hinge angle compensation mode and an
inertial measurement unit dominant mode; the adjusting module generates a
brake pressure reference value through temperature self-adaptive analysis and synchronizes
hydraulic control units of a front vehicle and a rear vehicle, and all the modules remarkably improve the dynamic stability and the low-temperature working condition fault-tolerant capability of a
brake system through full-link cooperation of environment
perception, parameter iteration and redundancy execution.