The invention discloses an unmanned
parallel parking control method based on driver experience. The unmanned
parallel parking control method comprises the following steps: step 1, establishing a non-time vehicle
kinematics model; 2, according to driver experience, a
parallel parking double-trapezoid
operation model is established; 3, restraining the parallel parking double-trapezoid
operation model by using the non-time vehicle
kinematics model to obtain a
steering wheel operation sequence; 4, establishing a parking quantitative
evaluation system, and calculating a
steering wheel operation sequence parking quality total
score H; step 5, constructing a parallel parking double-trapezoid
operation model based on the current key parameter matrix Kold and the new key parameter matrix Knew, calculating Hoold and Hnew, and calculating a difference value
delta H between Hoold and Hnew, and if
delta Hgt, executing the step 5; if yes, Knew is accepted; if
delta H is less than or equal to 0, calculating the acceptance probability P of Knew, and generating random numbers gamma and gamma lt; and if gamma is greater than or equal to P, Knew is accepted, and if gamma is greater than or equal to P, Kold is retained, N times of iterative annealing is carried out or a
system reaches
heat balance to obtain an optimal key parameter Kf, and a parallel parking double-trapezoid operation model for actual parking control is established based on the Kf.