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首页> 外文期刊>International journal of aerospace engineering >Trajectory Tracking Control for WMRs with the Time-Varying Longitudinal Slippage Based on a New Adaptive SMC Method
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Trajectory Tracking Control for WMRs with the Time-Varying Longitudinal Slippage Based on a New Adaptive SMC Method

机译:基于新型自适应SMC方法的时变纵向滑动的WMR轨迹跟踪控制

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摘要

Wheeled mobile robots (WMRs) in real complex environments such as on extraterrestrial planets are confronted with uncertain external disturbances and strong coupling of wheel-ground interactions while tracking commanded trajectories. Methods based on sliding mode control (SMC) are popular approaches for these situations. Traditional SMC has some potential problems, such as slow convergence, poor robustness, and excessive output chattering. In this paper, a kinematic-based feed-forward control model is designed for WMRs with longitudinal slippage and applied to the closed-loop control system for active compensation of time-varying slip rates. And a new adaptive SMC method is proposed to guide a WMR in trajectory tracking missions based on the kinematic model of a general WMR. This method combines the adaptive control method and a fast double-power reaching law with the SMC method. A complete control loop with active slip compensation and adaptive SMC is thus established. Simulation results show that the proposed method can greatly suppress chattering and improve the robustness of trajectory tracking. The feasibility of the proposed method in the real world is demonstrated by experiments with a skid-steered WMR on the loose-soil terrain.
机译:轮式移动机器人(WMRS)在诸如外星行星上的真正复杂的环境中面对不确定的外部干扰,以及轮廓相互作用的强烈耦合,同时跟踪命令轨迹。基于滑模控制(SMC)的方法是这些情况的流行方法。传统的SMC具有一些潜在的问题,例如缓慢的收敛,稳健性和过度的输出喋喋不休。在本文中,设计了基于运动的前馈控制模型,用于具有纵向滑动的WMR,并应用于闭环控制系统,以便有效补偿时变的滑移速率。提出了一种新的自适应SMC方法,以指导基于一般WMR的运动模型的轨迹跟踪任务中的WMR。该方法结合了自适应控制方法和快速双电达法与SMC方法。因此建立了具有主动滑移补偿和自适应SMC的完整控制环路。仿真结果表明,该方法可以大大抑制喋喋不休,提高轨迹跟踪的鲁棒性。通过在松散的土壤地形上的滑动转向WMR的实验证明了现实世界中所提出的方法的可行性。

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  • 来源
    《International journal of aerospace engineering》 |2019年第3期|4951538.1-4951538.13|共13页
  • 作者单位

    Harbin Univ Sci & Technol Mech & Power Engn Coll Harbin Heilongjiang Peoples R China;

    Harbin Univ Sci & Technol Mech & Power Engn Coll Harbin Heilongjiang Peoples R China;

    Harbin Inst Technol State Key Lab Robot & Syst Harbin Heilongjiang Peoples R China;

    Harbin Inst Technol State Key Lab Robot & Syst Harbin Heilongjiang Peoples R China;

    TP Link Technol Networking BU Shenzhen Peoples R China;

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  • 正文语种 eng
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