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Path following of car-like vehicles using dynamic inversion

机译:动态逆转类似汽车的路径跟踪

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This paper focuses on a special path following task arising from the needs of vision-based autonomous guidance: a given front point of a car-like vehicle that is within the look-ahead range of a stereo vision system must follow a prespecified Cartesian path. A solution to this path following problem is provided by a new feedforward/feedback control strategy where the feedforward is determined by a dynamic generator based on exact dynamic inversion over the nominal vehicle model and the feedback is mainly issued by correcting terms proportional to the tangential and normal errors determined with respect to the vehicle's ideal trajectory. A convergence analysis of the resulting dynamic inversion based controller is established versus a vehicle's uncertain model defined via equation errors. Simulation examples highlighting the controller's performances are included. [References: 15]
机译:本文重点介绍了基于视觉的自动引导需求所遵循的特殊路径:在立体视觉系统的超前范围内的类似汽车的给定前端必须遵循预定的笛卡尔路径。新的前馈/反馈控制策略提供了此路径跟踪问题的解决方案,其中前馈由动态发电机基于对标称车辆模型的精确动态反演来确定,并且反馈主要是通过校正与切线和相对于车辆理想轨迹确定的正常误差。建立了最终的基于动态反转的控制器的收敛性分析,并通过方程误差定义了车辆的不确定模型。包括突出控制器性能的仿真示例。 [参考:15]

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