基于模糊补偿的连续型空间机械臂预定时间控制

针对多节线驱连续型空间机械臂系统，在考虑存在外界时变干扰与参数不确定的情况下，提出基于模糊补偿的预定时间姿态控制方法. 设计模糊估计器估计系统切换增益，补偿未知有界总干扰. 基于预定时间稳定性理论，结合滑模控制，提出预定时间控制方法，使机械臂系统在预先设定时间内到达稳定状态. 与基于有限时间理论的控制方法相比，所提基于预定时间控制方法的稳定时间与系统初始状态无关，可以根据实际系统需求预先设置，并且所提方法在系统收敛速度与精度上具有更优的控制性能. 基于Lyapunov稳定性理论证明闭环系统的稳定性. 仿真结果表明，所提控制方法使系统姿态角误差快速收敛，并且预定时间稳定.

Predefined-time control of continuum space manipulator based on fuzzy compensation

For the multi-segment cable-driven continuum space manipulator system, a predefined-time attitude control method based on fuzzy compensation was proposed, considering the external time-varying disturbances and parameter uncertainties. A fuzzy estimator was designed to estimate the system switching gain and compensate the unknown bounded total disturbance. Based on the theory of predefined time stability, a sliding mode-based predefined-time control method was presented to make the manipulator system reach the stable state within a predefined time. Compared with the control method based on the finite-time theory, the settling time of the proposed control method was independent of the initial state of the system and was preset according to the actual system requirements. Furthermore, the proposed method had better control performance in terms of convergence rate and accuracy. Based on Lyapunov stability theory, the stability of the closed-loop system was proved. Simulation results show that the proposed control method can make the system attitude angle error converge fast and the predefined time stable.