Xia Guoqing, Zhang Yu, Zhang Wei, Zhang Kaihang, Yang Haoyu
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.
ISA Trans. 2022 Nov;130:136-151. doi: 10.1016/j.isatra.2022.04.010. Epub 2022 Apr 13.
This paper is concerned with the homing process in which a multi-underactuated AUV recovery system tracks the moving mother submarine in finite time in the presence of uncertain hydrodynamic parameters and unknown environmental disturbances. In the homing stage, underactuated AUVs and the moving mother submarine are treated as followers and the leader, respectively. The multi-underactuated AUV system finite time homing problem is converted to the leader-following finite-time formation control problem. The proposed leader-following formation strategy requires only the position information of the leader. The velocity of the leader can be designed as an additional degrees of freedom to stabilize position errors of the formation. A novel robust adaptive super-twisting sliding mode formation controller (ASTASMC) is proposed, specifically the super-twisting algorithm (STA) with adaptive uncertainty estimation. Wherein, the robust adaptive law can compensate for uncertainty with unknown upper bound in real time. Therefore, the proposed controller can not only enhance the tracking accuracy but also reduce the chattering. In addition, the finite-time convergence of estimation errors and tracking errors is rigorously proved. Finally, simulation results demonstrate the effectiveness of theoretical results.
本文关注的是一种归位过程,即在存在不确定水动力参数和未知环境干扰的情况下,多欠驱动自主水下航行器(AUV)回收系统在有限时间内跟踪移动的母潜艇。在归位阶段,欠驱动AUV和移动的母潜艇分别被视为跟随者和领导者。多欠驱动AUV系统的有限时间归位问题被转化为领导者-跟随者有限时间编队控制问题。所提出的领导者-跟随者编队策略仅需要领导者的位置信息。领导者的速度可以设计为一个额外的自由度,以稳定编队的位置误差。提出了一种新颖的鲁棒自适应超扭曲滑模编队控制器(ASTASMC),具体来说是具有自适应不确定性估计的超扭曲算法(STA)。其中,鲁棒自适应律可以实时补偿具有未知上界的不确定性。因此,所提出的控制器不仅可以提高跟踪精度,还可以减少抖振。此外,严格证明了估计误差和跟踪误差的有限时间收敛性。最后,仿真结果证明了理论结果的有效性。