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Use of memristive chaotic signal as a desired trajectory for a two-link flexible manipulator using contraction theory based on a composite control technique

机译:基于复合控制技术的收缩理论,使用忆减小信号作为双连杆柔性机械手的所需轨迹

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摘要

Flexible manipulators are being considered as bench mark control problem in the field of nonlinear dynamics. Many of their inherent advantages create challenges while dealing with the dynamics. Tracking control and vibration suppression are two main control problems considered. In this paper a composite controller is designed for the memristive chaotic system signal as trajectory tracking control of a two-link flexible robot manipulator. The dynamics of the flexible manipulator is modelled by using assumed modes method and divided into two subsystems using the singular perturbation technique. The subsystems are called as the slow subsystem involving rigid dynamics of the manipulator and the fast sub-system which incorporates flexible dynamics of the manipulator. Separate control techniques are designed for each subsystem. Contraction theory based controllers are designed for the slow sub-system and fast subsystem for fast trajectory tracking of signal of a memristive chaotic system and quick suppression of the link deflections. The simulation results confirm the better performances of the proposed composite technique.
机译:柔性操纵器被视为非线性动力学领域的基准标记控制问题。他们的许多内在的优势在处理动态时产生挑战。跟踪控制和振动抑制是考虑的两个主要控制问题。在本文中,复合控制器设计用于忆阻系统信号作为双连杆柔性机器人操纵器的轨迹跟踪控制。通过使用假定的模式方法模拟柔性机械手的动态,并使用奇异扰动技术分为两个子系统。子系统被称为涉及操纵器的刚性动态的慢速子系统和包含操纵器的柔性动态的快速子系统。为每个子系统设计单独的控制技术。基于收缩理论的控制器专为缓慢的子系统和快速子系统而设计,用于快速轨迹跟踪Memristive混沌系统的信号和快速抑制链路偏转。仿真结果证实了所提出的复合技术的更好性能。

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