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基于轴承的编队跟踪控制与时变速度估计。

Bearing-Based Formation Tracking Control With Time-Varying Velocity Estimation.

出版信息

IEEE Trans Cybern. 2023 Jun;53(6):3961-3973. doi: 10.1109/TCYB.2022.3169891. Epub 2023 May 17.

Abstract

This article studies the bearing-based formation tracking control problem of multiple double-integrator agents. A leader-following structure, where the leader moves with the reference dynamics, is adopted. Different from the existing methods, which require complete information of the time-varying reference velocity, in this article, only the time-varying reference orientation information is known by part of the followers and the amplitude of the reference velocity is unknown. To solve the problem, this article proposes a velocity-estimation-based control scheme, which consists of an estimator for estimating the varying rate of the reference orientation, an adaptation law for estimating the amplitude of the reference velocity, and bearing-based control inputs for tracking the leader and achieving the bearing-based formation based on the estimations. Moreover, the scaling formation maneuver can be achieved by using an auxiliary distance measurement. It shows that both the estimation errors and control errors converge to zero under the connectivity of the topology and properties of bearing rigidity. The closed-loop system is analyzed to be semiglobally uniformly asymptotically stable based on the cascaded system theory. Numerical simulations are presented to demonstrate the effectiveness of our method.

摘要

本文研究了多双积分智能体的基于方位的编队跟踪控制问题。采用了一种领导者跟随结构,其中领导者按照参考动力学运动。与现有方法不同,现有方法要求完整的时变参考速度信息,而在本文中,只有部分跟随者知道时变参考方向信息,而参考速度的幅度是未知的。为了解决这个问题,本文提出了一种基于速度估计的控制方案,它由一个估计器、一个自适应律和基于方位的控制输入组成,用于跟踪领导者和实现基于方位的编队,这些控制输入是基于估计值的。此外,通过使用辅助距离测量可以实现缩放编队机动。理论分析表明,在拓扑的连通性和方位刚性的性质下,估计误差和控制误差都可以收敛到零。基于级联系统理论,对闭环系统进行了半全局一致渐近稳定性分析。数值仿真验证了该方法的有效性。

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