College of Automation, Harbin Engineering University, Harbin 150001, China.
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
ISA Trans. 2018 Jul;78:66-79. doi: 10.1016/j.isatra.2017.12.023. Epub 2018 Jan 20.
In this paper, we derived a mathematical model for a floating production storage and offloading (FPSO) vessel and its buoy mooring system and developed a new robust positioning controller to keep vessels in a desired region in the presence of unknown time-varying disturbances with uncertainties and input saturation. Different materials (chain and polyester) and buoys are considered in the model of mooring system to make the developed model more realistic. We employed a disturbance observer to estimate the disturbances and designed an auxiliary dynamic system integrated with the structural reliability's derivative to quantify the input saturation's influence, and its states are used to the control design. Our proposed controller can keep the structural reliability and heading at desired values with arbitrarily small errors while guaranteeing the uniform ultimate boundedness of all signals in the closed-loop control system. It is easier for the control design because disturbances and input saturation are handled simultaneously and so is the stability analysis because only one Lyapunov function is needed. Simulations are conducted to demonstrate our proposed controller's effectiveness and a comparison with a robust controller based on hyperbolic tangent functions shows our proposed controller can avoid steady errors with desired control goals.
本文推导了一种浮式生产储卸油船(FPSO)及其浮式系泊系统的数学模型,并开发了一种新的鲁棒定位控制器,以在存在未知时变干扰、不确定性和输入饱和的情况下,使船舶保持在期望区域内。在系泊系统模型中考虑了不同的材料(链和聚酯)和浮标,以使开发的模型更加真实。我们采用了干扰观测器来估计干扰,并设计了一个辅助动态系统,该系统与结构可靠性的导数集成在一起,以量化输入饱和的影响,其状态用于控制设计。我们提出的控制器可以在任意小的误差下保持结构可靠性和航向的期望值,同时保证闭环控制系统中所有信号的一致有界性。由于同时处理了干扰和输入饱和,并且稳定性分析只需要一个李雅普诺夫函数,因此控制设计更加简单。通过仿真验证了所提出的控制器的有效性,并与基于双曲正切函数的鲁棒控制器进行了比较,结果表明,所提出的控制器可以避免稳态误差,实现期望的控制目标。