Intelligent control of flexible-joint manipulator based on singular perturbation

Zhiyu Shao, Xiaodong Zhang
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引用次数: 3

Abstract

Intelligent control of space manipulator with flexible-link and flexible-joint is discussed based on the singular perturbation method. Owing to the combined effects of the link and joint flexibilities, the dynamic model of this kind of manipulator becomes more complex and leads to a series of unsolved control system. To simplify the design of the control system, singular perturbation method is used to obtain the two-time-scale simpler subsystem and a composite control method is designed to realize precise trajectory tracking and vibration suppression simultaneously for flexible-link/flexible-joint manipulator with payload. In the slow subsystem, a sliding-mode controller with RBFN is designed to decrease the influences of external disturbance and parameters uncertainties, in which the system stability and asymptotic trajectory tracking performance are guaranteed by Lyapunov function, while in the fast subsystem a linear-quadratic controller is designed to suppress the vibration. The performances of the discussed controller are illustrated by the simulation and experimental results.
基于奇异摄动的柔性关节机械臂智能控制
研究了基于奇异摄动法的柔性连杆柔性关节空间机械臂智能控制问题。由于连杆和关节柔性的共同作用,该类机械手的动力学模型变得更加复杂,导致了一系列控制系统的未解决问题。为了简化控制系统的设计,采用奇异摄动法获得了两时间尺度的简化子系统,并设计了一种复合控制方法来同时实现带载荷的柔性连杆/柔性关节机械臂的精确轨迹跟踪和振动抑制。在慢子系统中,设计了一种带RBFN的滑模控制器来减小外部干扰和参数不确定性的影响,其中系统的稳定性和渐近轨迹跟踪性能由Lyapunov函数保证,而在快子系统中,设计了线性二次型控制器来抑制振动。仿真和实验结果验证了所述控制器的性能。
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