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自主水下航行器的自适应无模型参数容错轨迹跟踪控制

Adaptive model-parameter-free fault-tolerant trajectory tracking control for autonomous underwater vehicles.

作者信息

Zhu Cheng, Huang Bing, Zhou Bin, Su Yumin, Zhang Enhua

机构信息

Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China.

Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China.

出版信息

ISA Trans. 2021 Aug;114:57-71. doi: 10.1016/j.isatra.2020.12.059. Epub 2021 Jan 7.

Abstract

This paper provides a model-parameter-free control strategy for the trajectory tracking problem of the autonomous underwater vehicle exposed to external disturbances and actuator failures. Two control architectures have been constructed such that the system states could be forced to the desired trajectories with acceptable performance. By combining sliding mode control (SMC) technology and adaptive algorithm, the first control architecture is developed for tracking missions under healthy actuators. Taking actuator failures scenario into account, system reliability is improved considerably by the utilization of a passive fault-tolerant technology in the second controller. Benefitting from properties of Euler-Lagrange systems, the nonlinear dynamics of the underwater vehicles could be handled properly such that the proposed controllers could be developed without model parameters. Finally, the validity of the proposed controllers is demonstrated by theoretical analysis and numerical simulations.

摘要

本文针对受外部干扰和执行器故障影响的自主水下航行器轨迹跟踪问题,提出了一种无模型参数的控制策略。构建了两种控制架构,使系统状态能够在可接受的性能下被强制跟踪期望轨迹。通过结合滑模控制(SMC)技术和自适应算法,开发了第一种控制架构用于健康执行器下的跟踪任务。考虑到执行器故障情况,在第二种控制器中利用被动容错技术显著提高了系统可靠性。得益于欧拉 - 拉格朗日系统的特性,水下航行器的非线性动力学能够得到妥善处理,从而在无需模型参数的情况下开发出所提出的控制器。最后,通过理论分析和数值模拟验证了所提出控制器的有效性。

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