Time-Varying Formation Control for Heterogeneous Planar Underactuated Multivehicle Systems

Author:

Wang Bo1,Nersesov Sergey G.1,Ashrafiuon Hashem1

Affiliation:

1. Department of Mechanical Engineering, Center for Nonlinear Dynamics and Control (CENDAC), Villanova University, Villanova, PA 19085

Abstract

Abstract This paper presents a distributed control approach for time-varying formation of heterogeneous planar underactuated vehicle networks without global position measurements. All vehicles in the network are modeled as generic three degree-of-freedom planar rigid bodies with two control inputs, and are allowed to have nonidentical dynamics. Feasible trajectories are generated for each vehicle using the nonholonomic constraints of the vehicle dynamics. By exploiting the cascaded structure of the planar vehicle model, a transformation is introduced to define the reduced order error dynamics, and then, a sliding-mode control law is proposed. Low-level controller for each vehicle is derived such that it only requires relative position and local motion information of its neighbors in a given directed communication network. The proposed formation control law guarantees the uniform global asymptotic stability (UGAS) of the closed-loop system subject to bounded uncertainties and disturbances. The proposed approach can be applied to underactuated vehicle networks consisting of mobile robots, surface vessels, and planar aircraft. Simulations are presented to demonstrate the effectiveness of the proposed control scheme.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference47 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Output Feedback Control of Safety-Critical Systems with Continuous Twisting Algorithm;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. Range observer‐based formation control for heterogeneous spatial underactuated vehicle networks;International Journal of Adaptive Control and Signal Processing;2023-03-23

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