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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全驾驶水下车辆的自适应模糊达法律跟踪控制

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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:在本文中,研究了系统不确定性存在和未知外部干扰存在的不确定全致动水下车辆(FAUV)的强大轨迹控制(FAUV)的自适应模糊伸展法控制器(AFRLC),其中构建了一种新颖的达到法律控制器系统状态的可变速度结构,使得传统到达法中的喋喋不休现象可以减少。此外,在线使用模糊不确定性观察者观察系统不确定性,并将其纳入滑动模式到达法。理论分析证明,所提出的AFRLC可以确保水下车辆跟踪系统的稳定性,并且闭环控制系统中的所有信号都是均匀的最终界限。此外,观察误差可以渐近地收敛到零。仿真结果表明了所提出的控制方案的有效性。

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