钢轨打磨列车用多电液机械臂协同控制策略

Cooperative Control Strategy for Multiple Electro-Hydraulic Manipulators in Rail Grinding Trains

  • 摘要: 针对钢轨打磨列车作业过程中,多个电液机械臂在高精度位置协同控制方面存在的同步难题,本文提出一种基于虚拟领航者的分布式滑模协同控制算法。首先,为解决电液驱动系统非线性强、滑模控制固有抖振明显的问题,设计了一种引入指数衰减项的新型趋近律线性滑模控制器,在保证系统状态快速收敛的同时,有效平滑了控制增益的变化,削弱了执行机构的抖振。其次,构建了基于虚拟领航者的多智能体协同框架,设计了仅需邻居节点信息的分布式协同控制策略;相较于传统偏差耦合控制,该方法显著降低了系统通信负担,实现了各跟随机械臂对打磨位移指令的高精度跟踪与作业同步,并基于Lyapunov理论给出了严格的稳定性证明。最后,基于Matlab平台,通过与几种典型控制方案的对比仿真发现,本文方法在应对电液系统非线性扰动时表现出更强的鲁棒性,各臂间的同步误差显著降低。基于RT-LAB的半实物验证结果证实,所提分布式架构能确保多个磨头在复杂工况下保持高精度协同。

     

    Abstract: To address the synchronization challenges in high-precision position cooperative control of multiple electro-hydraulic manipulators during rail grinding train operations, we propose a distributed sliding mode cooperative control algorithm based on a virtual leader. First, to mitigate the strong nonlinearity of the electro-hydraulic drive system and the inherent chattering problem of sliding mode control, a linear sliding mode controller with a novel reaching law incorporating an exponential decay term is designed. This approach ensures rapid convergence of system states while effectively smoothing the control gain transition and reducing actuator chattering. Second, a multi-agent cooperative framework based on a virtual leader is established, and a distributed cooperative control strategy requiring only neighbor node information is developed. Compared with traditional deviation-coupled control, this method significantly reduces the system communication burden, achieves high-precision tracking of the grinding displacement command and operational synchronization among follower manipulators, and provides a rigorous stability proof based on Lyapunov theory. Finally, comparative simulations with several typical control schemes on the Matlab platform demonstrate that the proposed method exhibits stronger robustness against nonlinear disturbances in the electro-hydraulic system, with significantly reduced synchronization errors among manipulators. Hardware-in-the-loop validation results based on RT-LAB confirm that the proposed distributed architecture ensures high-precision cooperation of multiple grinding heads under complex working conditions.

     

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