College of Automation, Harbin Engineering University, Harbin 150001, China.
ISA Trans. 2019 Nov;94:151-163. doi: 10.1016/j.isatra.2019.04.010. Epub 2019 Apr 26.
This paper presents an adaptive fuzzy path following control law based on an improved adaptive integral line-of-sight (IAILOS) guidance law for the underactuated marine surface vessel (MSV) exposed to the time-varying ocean currents and time-varying sideslip angle. Initially, the IAILOS guidance law is proposed which can not only calculate the desired yaw angle but also estimate the time-varying ocean currents and time-varying sideslip angle simultaneously. Furthermore, the adaptive fuzzy path following control law is established by combining with the estimator to cope with the MSV's attitude tracking control and velocity tracing control problem via backstepping technique. Specifically, the dynamic uncertainties and unknown environment disturbances are compensated by the fuzzy logic system with fuzzy updating law based on estimation error rather than tracking error. Additionally, two high-order tracking differentiators (TDs) are designed to construct derivatives of virtual control vector and reduce computational complexity inherent in backstepping method. It is proved that the proposed adaptive fuzzy path following control law can drive the vessel to track the desired path and tracking error can converge to an arbitrarily small compact set, while guaranteeing all signals in the closed-loop control system are uniformly ultimately bounded. Finally, simulation results and comparisons are carried out to demonstrate the effectiveness of the proposed control approach.
本文提出了一种基于改进的自适应积分视线(IAILOS)制导律的自适应模糊路径跟踪控制律,用于解决欠驱动水面船舶(MSV)在时变海流和时变侧滑角下的路径跟踪问题。首先,提出了IAILOS 制导律,该制导律不仅可以计算期望的偏航角,还可以同时估计时变海流和时变侧滑角。然后,通过反步法将自适应模糊路径跟踪控制律与估计器相结合,以解决 MSV 的姿态跟踪控制和速度跟踪控制问题。具体来说,通过基于估计误差而不是跟踪误差的模糊更新律,模糊逻辑系统补偿了动态不确定性和未知环境干扰。此外,设计了两个高阶跟踪微分器(TD)来构建虚拟控制向量的导数,从而降低了反步法固有的计算复杂度。理论证明,所提出的自适应模糊路径跟踪控制律可以使船舶跟踪期望的路径,并且跟踪误差可以收敛到任意小的紧致集,同时保证闭环控制系统中的所有信号都是一致有界的。最后,通过仿真结果和对比验证了所提出控制方法的有效性。