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Obstacle-Sensitive Trajectory Regulation via Gain Scheduling and Semidefinite Programming

机译:通过增益调度和半定规划的障碍物敏感轨迹调节

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The regulation of vehicle trajectories in the vicinity of obstacles must focus on “critical outputs,” which vary as a function of the vehicle''s position relative to obstacles as exemplified by the task of parking a car. We present an application of linear parameter-varying techniques to address this problem. We design closed-loop stable, parameter-dependent controllers, whose strategy changes depending on the position of the vehicle in the obstacle environment. We also provide a fast and easy-to-implement algorithm for online controller construction. Last, the proposed approach is demonstrated on a three degrees-of-freedom helicopter.
机译:障碍物附近的车辆轨迹的调节必须集中在“临界输出”上,该临界输出根据车辆相对于障碍物的位置的变化而变化,例如停车任务。我们提出了线性可变参数技术来解决这个问题的应用。我们设计了闭环稳定的,取决于参数的控制器,其策略根据障碍物环境中车辆的位置而变化。我们还为在线控制器构建提供了一种快速且易于实现的算法。最后,该方法在三自由度直升机上得到了证明。

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