基于观测器的滑模控制器在动态定位系统中的应用

Alireza Hosseinnajad, M. Danesh, M. Loueipour
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引用次数: 3

摘要

在动力定位中,船舶运动的控制方程是不确定的。这些不确定性是由于未知的环境干扰和船舶运动方程中的水动力系数。在先前关于不确定性的工作中,假设船舶状态是完全可用的,并且位置信号是无噪声的。本文设计了一个由陷波滤波器、被动非线性观测器和滑模控制算法组成的鲁棒DP系统,以消除以往工作中的假设。首先用陷波滤波器对位置和航向的测量值进行滤波,然后由观测器利用滤波后的信号估计速度项和偏置项。然后将其应用于滑模控制律中,实现船舶的位置保持。仿真结果验证了所提控制系统处理不确定性的能力。动态定位,非线性被动观测器,陷波滤波器,鲁棒DP系统,滑模控制,不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of observer-based sliding mode controller in dynamic positioning systems
In dynamic positioning, the governing equations of vessel motion are uncertain. These uncertainties are due to unknown environmental disturbances and hydrodynamic coefficients in equations of vessel motion. In previous works concerning uncertainties, it is assumed that the vessel states are fully available and that the position signals are noise free. This paper presents the design of a robust DP system composed of a notch filter, a passive nonlinear observer and a sliding mode control algorithm to remove the assumptions made in previous works. The measured values of position and heading are first filtered by the notch filter, then, the velocity and bias terms are estimated by the observer using the filtered signal. Then they are used in a sliding mode control law for position keeping of the vessel. The simulation results approve of the capability of the proposed control system to deal with uncertainties. dynamic positioning, nonlinear passive observer, notch filter, robust DP system, sliding mode control, uncertainty.
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