首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Backstepping Sliding Mode Robust Control for a Wire-Driven Parallel Robot Based on a Nonlinear Disturbance Observer
【24h】

Backstepping Sliding Mode Robust Control for a Wire-Driven Parallel Robot Based on a Nonlinear Disturbance Observer

机译:基于非线性干扰观测器的线驱动并联机器人的背击滑动模式鲁棒控制

获取原文
获取外文期刊封面目录资料

摘要

Based on a nonlinear disturbance observer, a backstepping sliding mode robust control is proposed for a wire-driven parallel robot (WDPR) system used in the wind tunnel test to dominate the motion of the end effector. The control method combines both the merits of backstepping control and sliding mode robust control. The WDPR is subject to different types of disturbances, and these disturbances will affect the motion precision of the end effector. To overcome these problems, a nonlinear disturbance observer (NDO) is designed to reject such disturbances. In this study, the design method of the nonlinear disturbance observer does not require the reliable dynamic model of the WDPR. Moreover, the design method can be used not only in the WDPR but also in other parallel robots. Then, a backstepping design method is adopted and a sliding mode term is introduced to construct a desired controller, and the disturbances are compensated in the controller to reduce the switching gain and guarantee the robustness. For the sake of verifying the stabilization of the closed-loop system, the Lyapunov function is constructed to analyze the stabilization of the system. Finally, the feasibility and validity of the proposed control scheme are proved through both simulation and experimental results.
机译:基于非线性扰动观察者,提出了一种用于风隧道试验中使用的线驱动并行机器人(WDPR)系统的反向滑模鲁棒控制,以主导末端执行器的运动。控制方法结合了BackStepping控制和滑动模式鲁棒控制的优点。 WDPR受到不同类型的扰动,这些干扰将影响末端执行器的运动精度。为了克服这些问题,设计了一种非线性干扰观察者(NDO)以拒绝这种干扰。在本研究中,非线性干扰观测器的设计方法不需要WDPR的可靠动态模型。此外,设计方法不仅可以在WDPR中使用,而且可以在其他并行机器人中使用。然后,采用反静电设计方法并引入滑动模式术语以构建所需的控制器,并且在控制器中补偿干扰以减少开关增益并保证鲁棒性。为了验证闭环系统的稳定,构建Lyapunov功能以分析系统的稳定性。最后,通过模拟和实验结果证明了所提出的控制方案的可行性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号