Automatic driving vehicle transverse coordination control method based on extendable priority-degree evaluating
A technology of automatic driving and coordinated control, applied in the field of automatic driving vehicle control system, can solve problems such as poor overall control effect, and achieve the effect of improving jitter, high comfort, and stable control process
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[0035] The present invention will be further described below in conjunction with the description of the drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.
[0036] figure 1 It is a flow chart of a horizontal coordination control method for an automatic driving vehicle based on the evaluation of extension goodness, and the method of the present invention includes designing an upper-level controller and a lower-level controller, specifically as follows:
[0037] Upper controller: Obtain the vehicle-road state quantity collected from the vehicle sensor, the lateral position deviation e between the vehicle and the road centerline p , the heading deviation between the vehicle and the road centerline vehicle yaw rate and the road centerline curvature ρ. The vehicle-road state quantity is input into the PID feedback controller and the PID feedforward-feedback controller respectively as the input value, and the correspondi...
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of a vehicle and a road center line, the course deviation phi<r> of the vehicle and the road center line, the vehicle heading angle speed dot{phi} and the curvature rhoof the road center line are obtained and input into a PID feedback controller and a PID feedforward-feedback controller correspondingly, front wheel rotation angles delta<f1> and delta<f2> of the vehicle are output correspondingly, output values are substituted into an evaluation index prediction model, two sets of corresponding vehicle-road prediction state quantities are obtained, the vehicle-road prediction state quantities are evaluated through a priority-degree evaluating method, the result with the high priority degree is selected, and the front wheel rotation angle corresponding to theresult serves as an output value to be input into a lower-layer controller; and the lower-layer controller calculates a correlation function K(S) through the transverse position deviation e
of thecurrent vehicle and the road center line and the curvature rho of the road center line, delta<f> is coordinated through the correlation function K(S), the coordinated front wheel rotation angle is output to a vehicle-road state spatial equation, and an actual front wheel rotation angle is obtained.
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