为了降低泊车系统对驾驶人车速控制要求,针对泊车过程中驾驶人车速控制失误致使车辆偏离泊车路径最终导致泊车失败的问题,提出了结合定点跟踪的非时间参考的路径跟踪控制策略(Non-Time Based Path Tracking combined with Point Trackin...为了降低泊车系统对驾驶人车速控制要求,针对泊车过程中驾驶人车速控制失误致使车辆偏离泊车路径最终导致泊车失败的问题,提出了结合定点跟踪的非时间参考的路径跟踪控制策略(Non-Time Based Path Tracking combined with Point Tracking,NTBPTcwPT)。设计了定点跟踪控制律,建立了NTBPTcwPT控制模型,并进行了泊车路径跟踪仿真。结果表明:基于NTBPTcwPT的泊车控制策略降低了控制器对驾驶人速度控制的要求;NTBPTcwPT策略的位姿调整功能提高了泊车成功率;基于NTBPTcwPT策略的控制器可实现车辆规范停放。展开更多
The traffic accidents, traffic jams and parking problems come to appear, and have caused more and more concerns of people. The automatic parking system can help us a lot to solve these problems. The automatic parking ...The traffic accidents, traffic jams and parking problems come to appear, and have caused more and more concerns of people. The automatic parking system can help us a lot to solve these problems. The automatic parking system in this paper includes two sections, environment perception and automatic controller. The median filter and least square method are used to process the laser sensor data. Then, feasible parking space can be displayed by using K-means clustering method. The Matlab fuzzy GUI is used to establish the fuzzy controller. The kinematics equation of car is utilized to simulate the automatic vertical parking in the Matlab/simulation with the different initial path angles. Experiment results show that the environmental perception method has perfect performance and the controlling algorithm of the automatic parking system has good feasibility.展开更多
文摘为了降低泊车系统对驾驶人车速控制要求,针对泊车过程中驾驶人车速控制失误致使车辆偏离泊车路径最终导致泊车失败的问题,提出了结合定点跟踪的非时间参考的路径跟踪控制策略(Non-Time Based Path Tracking combined with Point Tracking,NTBPTcwPT)。设计了定点跟踪控制律,建立了NTBPTcwPT控制模型,并进行了泊车路径跟踪仿真。结果表明:基于NTBPTcwPT的泊车控制策略降低了控制器对驾驶人速度控制的要求;NTBPTcwPT策略的位姿调整功能提高了泊车成功率;基于NTBPTcwPT策略的控制器可实现车辆规范停放。
文摘The traffic accidents, traffic jams and parking problems come to appear, and have caused more and more concerns of people. The automatic parking system can help us a lot to solve these problems. The automatic parking system in this paper includes two sections, environment perception and automatic controller. The median filter and least square method are used to process the laser sensor data. Then, feasible parking space can be displayed by using K-means clustering method. The Matlab fuzzy GUI is used to establish the fuzzy controller. The kinematics equation of car is utilized to simulate the automatic vertical parking in the Matlab/simulation with the different initial path angles. Experiment results show that the environmental perception method has perfect performance and the controlling algorithm of the automatic parking system has good feasibility.
