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Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications

机译:具有信号时间逻辑规范的多转子无人机控制和规划的共同设计

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Urban Air Mobility (UAM), or the scenario where multiple manned and Unmanned Aerial Vehicles (UAVs) carry out various tasks over urban airspaces, is a transportation concept of the future that is gaining prominence. UAM missions with complex spatial, temporal and reactive requirements can be succinctly represented using Signal Temporal Logic (STL), a behavioral specification language. However, planning and control of systems with STL specifications is computationally intensive, usually resulting in planning approaches that do not guarantee dynamical feasibility, or control approaches that cannot handle complex STL specifications. Here, we present an approach to co-design the planner and control such that a given STL specification (possibly over multiple UAV s) is satisfied with trajectories that are dynamically feasible and our controller can track them with a bounded tracking-error that the planner accounts for. The tracking controller is formulated for the non-linear dynamics of the individual UAVs, and the tracking error bound is computed for this controller when the trajectories satisfy some kinematic constraints. We also augment an existing multi-UAV STL-based trajectory generator in order to generate trajectories that satisfy such constraints. We show that this co-design allows for trajectories that satisfy a given STL specification, and are also dynamically feasible in the sense that they can be tracked with bounded error. The applicability of this approach is demonstrated through simulations of multi- UAV missions.
机译:城市空运(UAM)或多个载人和无人机航空车(无人机)在城市空域开展各种任务的情况,是一个正在获得突出的未来的交通概念。具有复杂的空间,时间和反应性要求的UAM任务可以使用信号时间逻辑(STL)简洁地表示行为规范语言。但是,使用STL规范的系统的规划和控制是计算密集的,通常导致不保证无法保证无法处理复杂STL规范的控制方法的规划方法。在这里,我们提出了一种协同设计的方法和控制,使得给定的STL规范(可能超过多个UAV S)对动态可行的轨迹满足,并且我们的控制器可以跟踪计划的界限跟踪误差帐户。跟踪控制器配制用于各个无人机的非线性动态,并且当轨迹满足某些运动约束时,为该控制器计算跟踪误差。我们还增加了现有的基于多UAV STL的轨迹发生器,以便生成满足此类约束的轨迹。我们表明,这种共同设计允许满足给定STL规范的轨迹,并且在可以使用有界误差跟踪它们的意义上也是动态可行的。通过模拟多UAV任务来证明这种方法的适用性。

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