Litcius/Paper detail

Coordinated Formation Control of Discrete-Time Autonomous Underwater Vehicles under Alterable Communication Topology with Time-Varying Delay

Haomiao Yu, Zhenfang Zeng, Chen Guo

2022Journal of Marine Science and Engineering16 citationsDOIOpen Access PDF

Abstract

This paper is concerned with the coordinated formation control problem of multiple autonomous underwater vehicles (AUVs) under alterable communication topology and time-varying delay in discrete time domain. Firstly, the multi-AUV system is divided into one leader and multiple followers, and the communication topology is divided into two parts. The coupled nonlinear AUV model is linearized into a second-order integral model using state feedback. Secondly, two types of coordinated controllers in discrete time are proposed: the controller for multi-AUV system without delay, the controller for multi-AUV system with time-varying delay. Then, the formation control issue for multiple AUVs with alterable topology is treated as the asymptotic stability of an error system. The stability analysis of the error system consisting of the state errors between each follower and the leader is performed, to obtain some novel sufficient conditions for achieving the formation control objective. Finally, some simulation results are presented to demonstrate the effectiveness of the theoretical results, and the comparisons describe the effects of communication topology and delay on the performance of the control system.

Topics & Concepts

Control theory (sociology)Topology (electrical circuits)Controller (irrigation)Discrete time and continuous timeStability (learning theory)Computer scienceState (computer science)UnderwaterNonlinear systemControl (management)Domain (mathematical analysis)Control systemTime domainEngineeringMathematicsAlgorithmOceanographyMathematical analysisStatisticsQuantum mechanicsPhysicsGeologyArtificial intelligenceComputer visionElectrical engineeringAgronomyMachine learningBiologyDistributed Control Multi-Agent SystemsUnderwater Vehicles and Communication SystemsAdaptive Control of Nonlinear Systems