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On the fuzzy-adaptive command filtered backstepping control of an underactuated autonomous underwater vehicle in the three-dimensional space

机译:关于模糊自适应命令过滤滤波三维空间欠下自主水下车辆的反向插入控制

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摘要

This paper studies the three-dimensional path following control problem for an underactuated autonomous underwater vehicle in the presence of parameter uncertainties and external disturbances. Firstly, an appropriate model for the error dynamics was established to solve the path following problem in a moving Serret-Frenet frame. Secondly, an adaptive robust control scheme is proposed through fuzzy logic theory, command filtered backstepping method and an adaptation mechanism. Finally, a suitable Lyapunov candidate function is utilized to verify the stability of the overall control system and demonstrate uniform ultimate boundedness of path following errors. Following novelties are highlighted in this study: (i) The fuzzy method is adopted to solve the problems of model uncertainties, which makes the controller more practical; (ii) to calculate the virtual control derivative, a second-order filter is designed. This reduces the computational effort of the standard backstepping technique. Moreover, the effect of high frequency measurement noise is considerably attenuated via an appropriate filter to attain a more robust control system. (iii) To attain a desired approximation accuracy between the virtual control and the filtered signals, a compensation loop containing the filtered error is established. (iv) An anti-windup design is proposed to solve the problem of integral saturation in control input signals. Finally, comparative simulations are performed to ensure that the presented control scheme has excellent following accuracy and good robustness under multiple uncertainties and external disturbances.
机译:本文研究了在存在参数不确定性和外部干扰的情况下对欠型自主水下车辆进行控制问题的三维路径。首先,建立了一个适当的错误动态模型,以解决移动的Serret-Frenet框架中的问题之后的路径。其次,通过模糊逻辑理论提出了一种自适应稳健的控制方案,命令过滤的反向梗地方法和适应机制。最后,利用合适的Lyapunov候选函数来验证整个控制系统的稳定性,并展示了误差之后的均匀终极界限。在本研究中强调了以下Noveltize:(i)采用模糊方法来解决模型不确定性的问题,使控制器更加实用; (ii)计算虚拟控制衍生物,设计了二阶滤波器。这降低了标准BackStepping技术的计算工作。此外,高频测量噪声的效果通过适当的滤波器显着衰减以获得更强大的控制系统。 (iii)为了在虚拟控制和滤波信号之间获得所需的近似精度,建立包含滤波错误的补偿循环。 (iv)提出了一种防卷化设计,以解决控制输入信号中积分饱和的问题。最后,进行比较模拟以确保所示的控制方案在多种不确定性和外部干扰下具有优异的准确性和良好的鲁棒性。

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