The application discloses a three-axle
commercial vehicle double-stage drift control method and a safety
auxiliary system for coping with extreme working conditions, and builds a double-track three-axle vehicle
path tracking model containing a nonlinear tire. According to the characteristics of a curve, a steady-state drift
state variable is calculated, and stability analysis is performed on a
state variable root locus; based on a time-varying
model prediction algorithm, an expected steady-state drift balance state is tracked, auxiliary drift control is realized, pre-look road information is obtained, a lateral error e and a heading error ΔΨ are calculated, and control
modes are switched according to the two errors; when the curve is close to the end, a heading stability control integrated with active front steering and additional
yaw moment is switched, so that the vehicle
body posture is restored to be stable. The above obtained control instructions are transmitted to a
wheel drive assembly and a steer-by-wire mechanism for real-time execution. The application realizes the fusion of curve drift and
straight path, improves the deficiency that the existing method can only perform drift control in a steady-state circular working condition, and meets the drift driving demand of an unmanned
commercial vehicle in a complex working condition.