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Trajectory Tracking for Unmanned Air Vehicles With Velocity and Heading Rate Constraints

机译:具有速度和航向速率约束的无人驾驶飞行器的轨迹跟踪

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摘要

This paper considers the problem of constrained - nonlinear trajectory tracking control for unmanned air vehicles (UAVs). We assume that the UAV is equipped with longitudinal and lateral autopilots which reduces the 12-state model to a six-state model with altitude, heading, and velocity command inputs. One of the novel features of our approach is that we explicitly account for heading rate and velocity input constraints. For a UAV, the velocity is constrained to lie between two positive constants, and therefore presents particular challenges for the control design. We propose a control Lyapunov function (CLF) approach. We first introduce a CLF for the input constrained case, and then construct the set of all constrained inputs that are feasible with respect to this CLF. The control input is then selected from this "feasible" set. The proposed approach is applied to a simulation scenario, where the UAV is assigned to transition through several targets in the presence of multiple dynamic threats.
机译:本文研究了无人机(UAV)的约束-非线性轨迹跟踪控制问题。我们假设无人机配备了纵向和横向自动驾驶仪,将 12 态模型简化为具有高度、航向和速度命令输入的六态模型。我们方法的一个新特点是,我们明确地考虑了航向速率和速度输入约束。对于无人机来说,速度被限制在两个正常数之间,因此对控制设计提出了特殊的挑战。我们提出了一种控制李雅普诺夫函数(CLF)方法。我们首先为输入约束情况引入一个 CLF,然后构造相对于此 CLF 可行的所有约束输入的集合。然后从这个“可行”集合中选择控制输入。所提出的方法适用于模拟场景,其中无人机被分配在存在多个动态威胁的情况下通过多个目标进行过渡。

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