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Predictive Control Approach for Restricted Areas Avoidance of Autonomous System

机译:自治系统避免限制区域预测控制方法

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In this paper, we have formulated and simulated a hybrid dynamics in a piecewise affine (PWA) model of an autonomous system for several restricted areas avoiding purposes. The scenario of the restricted area avoidance is formulated by labeling the normal (unrestricted) area and the restricted area as mode 0 and mode 1 respectively. The dynamics of the autonomous system is formulated as a PWA model governed by these two modes. We simulate dynamics of the given autonomous system as follows. The given autonomous system is initially located at some point/position and it have to reach some given final/target point/position with optimal condition by minimizing the trajectory and effort. To determine the optimal trajectory, we applied the model predictive control method to generate the optimal input so that the autonomous system avoids some given restricted areas. From the simulation results, the given autonomous system reached the target position and avoids the given restricted areas with optimal trajectory generated by the predictive controller.
机译:在本文中,我们在自治系统的分段仿射(PWA)模型中制定和模拟了几个限制区域避免目的的分段仿射(PWA)模型。通过分别将正常(不受限制的)区域和限制区域标记为模式0和模式1来制定限制区域避免的场景。自主系统的动态被制定为由这两种模式控制的PWA模型。我们如下模拟给定自治系统的动态。给定的自主系统最初位于某个点/位置,并且通过最小化轨迹和努力,它必须通过最佳条件到达一些给定的最终/目标点/位置。为了确定最佳轨迹,我们应用了模型预测控制方法来生成最佳输入,使得自治系统避免了一些给定的限制区域。从仿真结果来看,给定的自治系统达到目标位置,避免给定的限制区域,具有预测控制器产生的最佳轨迹。

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