基于PPC-DOB的挂轨式巡检机器人鲁棒行走控制

Robust walking control of rail-mounted patrol Inspection robot based on PPC-DOB

  • 摘要: 针对矿井巷道复杂工况下挂轨式巡检机器人行走时,因轨道接缝冲击、轮轨摩擦时变等多源扰动引发本体振动,导致其巡检图像采集清晰度不足、视频画面频繁抖动的问题,提出一种融合预设性能控制(PPC)、非奇异快速终端滑模控制(NFTSMC)与扰动观测器(DOB)的复合鲁棒控制策略。通过分析机器人行走机构结构特性,建立爬坡、转弯等典型工况的动力学与运动学模型。设计了复合控制策略,即PPC通过预设性能函数约束速度跟踪误差,确保动态性能指标,NFTSMC实现误差有限时间收敛并抑制抖振,DOB实时观测并补偿未知扰动。通过仿真实验与PID、SMC、NFTSMC+DOB等策略对比,验证了所提复合控制策略能有效提升挂轨式巡检机器人在复杂扰动下的速度跟踪精度与运行稳定性,为自动化巡检装备的高性能控制提供技术支撑。

     

    Abstract: To solve the problem of insufficient definition of patrol inspection images and frequent jitter of video images caused by the body vibration caused by the track joint impact, wheel-rail friction time variation and other multi-source disturbances when the rail-mounted patrol inspection robot walks in the complex working condition of the mine roadway, a composite robust control strategy integrating preconfigured function control (PPC), nonsingular fast terminal slip-mode control (NFTSMC) and disturbance observer (DOB) is proposed. Through analyzing the structural characteristics of the robot walking mechanism, the dynamic and kinematic models of typical working conditions such as climbing and turning are established. The composite control strategy is designed, that is, PPC constrains the velocity tracking error through the preset performance function to ensure the dynamic performance index; NFTSMC realizes the finite time convergence of the error and suppresses the vibration; DOB observes and compensates the unknown disturbance in real time. Through the comparison of simulation experiment with PID, SMC, NFTSMC+DOB strategies, it is verified that the proposed composite control strategy can effectively improve the speed tracking accuracy and operation stability of rail-mounted patrol robot under complex disturbance, and provide technical support for high-performance control of automatic patrol equipment.

     

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