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Adaptive fuzzy reaching law tracking control of uncertain fully-actuated underwater vehicles with system uncertainties and unknown disturbances

机译:具有系统不确定性和未知干扰的不确定性全驱动水下航行器的自适应模糊到达律跟踪控制

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In this paper, an adaptive fuzzy reaching law controller (AFRLC) for robust tracking control of uncertain full-actuated underwater vehicles (FAUV) in the presence of system uncertainties and unknown external disturbances is investigated, where a novel reaching law controller is constructed with a variable speed structure of system states such that the chattering phenomenon in traditional reaching law can be reduced. Moreover, a fuzzy uncertainty observer is employed to online observe the system uncertainties and it is incorporated into the sliding-mode reaching law. Theoretical analysis proves that the proposed AFRLC can ensure the stability of underwater vehicles tracking system and all signals in the closed-loop control system are uniformly ultimately bounded. In addition, the observation error can asymptotically converge to zero. Simulation results demonstrate the effectiveness of the proposed control scheme.
机译:本文研究了一种自适应模糊到达律控制器(AFRLC),用于在存在系统不确定性和未知外部干扰的情况下对不确定的全驱动水下航行器(FAUV)进行鲁棒跟踪控制,在此基础上构造了一种新颖的到达律控制器。系统状态的可变结构,从而可以减少传统到达律中的颤动现象。此外,采用模糊不确定性观测器在线观测系统不确定性,并将其纳入滑模到达定律。理论分析证明,所提出的AFRLC可以确保水下航行器跟踪系统的稳定性,并且闭环控制系统中的所有信号均最终受到一致的约束。另外,观察误差可以渐近收敛到零。仿真结果证明了所提出控制方案的有效性。

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