水下作业机器人滑模自抗扰控制方法研究

Research on sliding mode active disturbance rejection control method of underwater vehicle manipulator system

水下作业机器人浮游状态抗流作业过程面临流场强扰动、机械臂与本体内力耦合干扰、运动特性不确定等问题。本文提出一种基于线型扩张观测器的水下机器人滑膜自抗扰控制方法,该方法能够将复杂控制系统解耦为多个串联积分子系统,主要采用线性扩张观测器对作业机器人所受流场干扰因素进行自适应补偿。在此基础上,利用滑膜控制对系统参数摄动不敏感性,增强控制系统的抗干扰性能。最后,结合李雅普诺夫理论分析作业机器人有界稳定控制。仿真结果表明,本文提出的方法相比传统的滑模控制和自抗扰控制方法具有更好的动态跟踪和抗干扰能力。

Underwater vehicle manipulator system is faced with strong disturbance of flow field, coupling interference of internal force between manipulator and vehicle, uncertainty of motion characteristics and other problems during floating state anti-current operation. In this paper, a linear extended observer based active disturbance rejection control method for underwater vehicle is proposed. The method can decouple the complex control system into multiple series integration subsystems, and the linear extended observer is mainly used to adaptively compensate the disturbance factors of the working robot’s flow field. So, on this basis, the film control is insensitive to the system parameter perturbation to enhance the anti-interference performance of the control system, and finally, the bounded stability control of the working robot is analyzed with Lyapunov theory. The simulation results show that the proposed method has better dynamic tracking and anti-jamming ability than the traditional sliding mode control and active disturbance rejection control methods.