基于预瞄模糊控制的自动泊车算法研究
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摘要
针对目前自动泊车系统转向不连续问题,本文基于两段式泊车路径规划,采用Sigmoid函数对两段式泊车路径进行函数拟合;建立了横向预瞄模型,对路径追踪误差进行估计,采用模糊控制方法,对拟合后的理想路径进行追踪;搭建了PreScan虚拟仿真环境,通过超声波传感器获取车位信息,对提出的基于预瞄模糊控制的自动泊车算法进行了仿真验证。仿真结果表明,Sigmoid函数对两段式泊车路径的拟合决定系数可达0.99以上,采用基于预瞄模糊控制的自动泊车算法,汽车能够很好追踪规划的路径,并成功泊入预定车位。
Aiming at the automatic parking system to discontinuous problems,the Sigmoid function is adopted to fit the two section parking path.The transverse preview model is established and the path tracking error is estimated.Then the preview fuzzy control algorithm is adopted to track the ideal path.Finally,PreScan virtual simulation environment is established and the information of parking spaces is obtained by ultrasonic sensors.Research results show that the coefficient of determination can reach over 0.99 between the Sigmoid function and the two- section parking path.Based on the preview fuzzy control,the car can track the planning path successfully and park into parking spaces.
引文
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