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Navigating Discrete Difference Equation Governed WMR by Virtual Linear Leader Guided HMPC

机译:通过虚拟线性前导引导的HMPC导航WMR控制的离散差分方程

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In this paper, we revisit model predictive control (MPC) for the classical wheeled mobile robot (WMR) navigation problem. We prove that the reachable set based hierarchical MPC (HMPC), a state-of-the-art MPC, cannot handle WMR navigation in theory due to the non-existence of non-trivial linear system with an under-approximate reachable set of WMR. Nevertheless, we propose a virtual linear leader guided MPC (VLL-MPC) to enable HMPC structure. Different from current HMPCs, we use a virtual linear system with an under-approximate path set rather than the traditional trace set to guide the WMR. We provide a valid construction of the virtual linear leader. We prove the stability of VLL-MPC, and discuss its complexity. In the experiment, we demonstrate the advantage of VLL-MPC empirically by comparing it with NMPC, LMPC and anytime RRT* in several scenarios.
机译:在本文中,我们为经典轮式移动机器人(WMR)导航问题重新访问模型预测控制(MPC)。我们证明了基于集合的分层MPC(HMPC),最先进的MPC无法在理论上处理WMR导航,这是由于具有近似近似的WMR的非普通线性系统的无存在性。尽管如此,我们提出了一种虚拟线性领导者引导MPC(VLL-MPC)来实现HMPC结构。与当前的HMPC不同,我们使用具有近似路径集的虚拟线性系统而不是传统的跟踪集来指导WMR。我们提供了虚拟线性领导的有效构造。我们证明了VLL-MPC的稳定性,并讨论了其复杂性。在实验中,我们通过将其与NMPC,LMPC和任何时间RRT *进行比较来验证VLL-MPC的优势。

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