智能车路径跟踪控制算法的简述  

Parameter Matching Design Based On Dynamic Coefficient o F Pure Electric Logistics Vehicle

作　　者：杨浩 Yang Hao(Chongqing Technology and Business Institute,Chongqing 401520)

机构地区：[1]重庆工商职业学院

出　　处：《汽车实用技术》2020年第1期49-50,共2页Automobile Applied Technology

摘　　要：智能车主要分为路径规划、路径跟踪、自动泊车三大部分。路径规划主要研究车辆的避障问题,路径跟踪主要研究车辆跟随期望路径的有效性,自动泊车主要分析车辆在有限的几何空间内将车辆泊到指定的空间位置。其中路径跟踪是其核心部分,根据研究方法的不同,主要分为"预瞄跟随模型"和"智能控制模型"。文章根据预瞄点的不同,主要分析单点预瞄模型、两点预瞄模型、路程预瞄模型。根据智能控制方法的不同,主要分析模糊逻辑控制驾驶员模型、神经网络控制驾驶员模型、模型预测控制驾驶员模型。Smart cars are mainly divided into three parts: path planning, path tracking, and automatic parking. Path planning mainly studies the obstacle avoidance problem of vehicles. Path tracking mainly studies the effectiveness of vehicles following the expected path. Automatic parking mainly analyzes vehicles parking vehicles in a limited geometric space to a specified spatial position. Path tracking is its core part. According to different research methods, it is mainly divided into "pre-targeting model" and "intelligent control model".According to the different pre-pointing points, this paper mainly analyzes the single-point preview model, the two-point preview model, and the route preview model. According to the different intelligent control methods, the fuzzy logic control driver model, the neural network control driver model, and the model predictive control driver model are mainly analyzed.

关 键 词：智能车 预瞄跟随模型 智能控制模型 

分 类 号：U471[机械工程—车辆工程]