平行泊車軌跡規(guī)劃及控制算法研究
[Abstract]:Traffic jams and scratches have become a major problem in traffic management due to irregular on-street parking. Therefore, automatic parking and auxiliary parking have become the focus of vehicle active safety technology research and development. According to the size of parking space, the method of parallel parking can be divided into two types: forward and backward. In this paper, a method of trajectory planning based on B-spline and trajectory planning based on multi-segment arc is proposed, considering the demand of parking space. For backward parallel parking, a fast trajectory optimization method and a feedback controller which can adapt to the dynamic changes of the environment and take into account the model errors and disturbances are proposed under the premise of physical constraints and nonholonomic constraints. This research is the research result of the project "Road Safety reasoning based on Traffic situation Assessment", which is a special research on parallel parking. The main contributions of this research are as follows. Forward parallel parking: (1) under the condition of relatively abundant parking space, a simplified parking kinematics model is established according to the Ackermann steering geometry, and the multi-constraint problem is analyzed. Considering the design requirements of parking trajectory and the characteristics of B-spline curve, a trajectory generation method based on B-spline curve theory is proposed. The aim of this method is to minimize the curvature of the trajectory. A one-step parking trajectory planning for forward parallel parking. (2) under the condition of relatively small parking space, a multi-step, forward and backward parking method is proposed. The method of multi-segment tangent arc is used to divide the parking track curve, considering the possible collision in parking movement, the corresponding constraint function is established, and the minimum parking space and curve curvature are respectively taken as the optimization objective. The parameters of the parking track are calculated. Backward parallel parking: (3) A new trajectory generation method is proposed, which consists of two parts: fast geometric path planning and path tracking optimization. Geometric path planning is accomplished by solving a set of static optimization problems, while obstacles are described by inequality constraints based on Minkowski. The flatness attribute in the system theory is used to establish the vehicle system dynamics, which is expressed as the linear second-order difference equation. (4) A trajectory tracking feedback controller is proposed. For this reason, the error system is converted into a chain system, and the control input is calculated by the integral inverse method. The stability of the closed-loop system is proved by using Barbalat Lemma.
【學(xué)位授予單位】:山東理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:U491.7
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