Fan Yunsheng, Liu Bowen, Wang Guofeng, Mu Dongdong
School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China.
Key Laboratory of Technology and System for Intelligent Ships of Liaoning Province, Dalian 116026, China.
Sensors (Basel). 2021 Nov 10;21(22):7454. doi: 10.3390/s21227454.
This paper focuses on an issue involving robust adaptive path following for the uncertain underactuated unmanned surface vehicle with time-varying large sideslips angle and actuator saturation. An improved line-of-sight guidance law based on a reduced-order extended state observer is proposed to address the large sideslip angle that occurs in practical navigation. Next, the finite-time disturbances observer is designed by considering the perturbations parameter of the model and the unknown disturbances of the external environment as the lumped disturbances. Then, an adaptive term is introduced into Fast Non-singular Terminal Sliding Mode Control to design the path following controllers. Finally, considering the saturation of actuator, an auxiliary dynamic system is introduced. By selecting the appropriate design parameters, all the signals of the whole path following a closed-loop system can be ultimately bounded. Real-time control of path following can be achieved by transferring data from shipborne sensors such as GPS, combined inertial guidance and anemoclinograph to the Fast Non-singular Terminal Sliding Mode controller. Two examples as comparisons were carried out to demonstrate the validity of the proposed control approach.
本文聚焦于一个涉及具有时变大侧滑角和执行器饱和的不确定欠驱动无人水面舰艇的鲁棒自适应路径跟踪问题。提出了一种基于降阶扩展状态观测器的改进视线制导律,以解决实际导航中出现的大侧滑角问题。接下来,将模型的摄动参数和外部环境的未知干扰视为集总干扰,设计了有限时间干扰观测器。然后,在快速非奇异终端滑模控制中引入自适应项来设计路径跟踪控制器。最后,考虑执行器饱和问题,引入了一个辅助动态系统。通过选择合适的设计参数,整个路径跟踪闭环系统的所有信号最终都能有界。通过将来自GPS、组合惯性制导和风速仪等船载传感器的数据传输到快速非奇异终端滑模控制器,可以实现路径跟踪的实时控制。进行了两个对比示例以证明所提出控制方法的有效性。