Leader-Follower轨迹跟踪问题的实用混合图编队控制体系

Catherine M. Elias, Shaimaa K. El-Baklish, Nada N. El-Ghandoor, Omar M. Shehata, E. I. Morgan
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引用次数: 5

摘要

本文对传统的单车辆轨迹跟踪问题进行了扩展,提出了一种n辆车辆在预定轨迹上运动时收敛到期望队形的控制方法。提出了一种新的混合控制算法来分别处理上述两个问题。所提出的控制器集成了三种不同的技术;图论,李雅普诺夫稳定性和领导-追随者方法。控制器结构由两个主要子系统组成。在第一个子系统中,领导者虚拟机器人负责轨迹跟踪问题,通过基于李雅普诺夫的控制器驱动。同时,采用基于图形的控制器,利用局部定位信息保证follower移动机器人收敛到期望的队形;从而保证了follower机器人相对于运动leader的队形稳定性。这种新的混合方法解决了不切实际的速度问题,提供了可以实际实现的可接受范围内的控制输入。此外,它消除了电机输入的振荡。通过实例验证了所提出的混合控制算法。仿真结果证明了该方法的有效性。
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Practical Hybrid Graph-Based Formation Control Architecture for Leader-Follower Trajectory Tracking Problem
This paper extends the traditional single vehicle trajectory tracking problem to develop a control approach for a group of N-vehicles which are capable of converging to a desired formation while moving on a predefined trajectory. A novel hybrid control algorithm is introduced to handle the two aforementioned problems separately. The proposed controller integrates three different techniques; graph theory, Lyapunov stability and leader-follower approach. The controller structure consists of two main subsystems. In the first subsystem, a leader virtual robot is responsible for the trajectory tracking problem, actuated via a Lyapunov-based controller. Simultaneously, a graph-based controller is used to guarantee the convergence of the follower mobile robots to the desired formation using local positioning information; thus, ensuring the stability of the formation of the follower robots with respect to the moving leader. This new hybrid approach handles the problem of impractical velocities providing control inputs within acceptable ranges that can be practically implemented. Furthermore, it eliminates the oscillations in the motor inputs. Several scenarios are implemented to verify the proposed hybrid control algorithm. The simulations show significant and promising results which prove the effectiveness of this hybrid approach.
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