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Global Fuzzy Sliding Mode Control for Multi-joint Robot Manipulators Based on Backstepping

机译:基于BackStepping的多联合机器人机械手的全局模糊滑模控制

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In this paper, a new method of backstepping sliding mode control for tracking control of multi-joint robot manipulators is introduced. Multi-joint robot manipulators system is a nonlinear and strong coupling system. According to sliding mode control theory, backstepping is used to design global sliding mode controller. The backstepping control algorithm decomposes the complex nonlinear system into the subsystems that do not exceed the order of the system and then designed the Lyapunov functions and virtual control signal for each subsystem in which back-stepping to the entire subsystem until the control law is finished. We focused on the chattering problem of sliding mode controller and designed the global fuzzy sliding mode controller which reduced the chattering issue. Based on the Lyapunov principle, sufficient conditions for system stability are given. Simulation results show that compared with the global sliding mode control method, the proposed method can effectively reduce chattering and improve the accuracy of trajectory tracking.
机译:本文介绍了一种新方法,介绍了用于跟踪多联网机械手的跟踪控制的推拉模式控制。多关节机器人操纵器系统是非线性和强耦合系统。根据滑模控制理论,BackStepping用于设计全局滑模控制器。 BackStepping Control算法将复杂的非线性系统分解为不超过系统顺序的子系统,然后为每个子系统设计Lyapunov函数和虚拟控制信号,在该子系统中,在控制法完成之前向整个子系统踩到整个子系统。我们专注于滑动模式控制器的抖动问题,并设计了减少抖动问题的全局模糊滑模控制器。基于Lyapunov原理,给出了系统稳定性的充分条件。仿真结果表明,与全局滑模控制方法相比,所提出的方法可以有效地减少抖动和提高轨迹跟踪的准确性。

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