无人履带车辆自抗扰控制

G. Banjac, M. Stankovic, Stojadin M. Manojlovic
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引用次数: 0

摘要

通过增加无人驾驶车辆的自主性,即将人类操作员排除在制导回路之外,实现了无人驾驶车辆可能性的显著改善。本文研究了履带滑动未知情况下无人履带车辆的自主控制问题。建立了UTV路径跟随问题的纵向和横向控制模型。为了处理未知不确定性和滑动干扰,提出了纵向和横向控制通道的自抗扰控制设计。采用自抗扰策略,将所有控制通道的不确定性和扰动视为一个总扰动,将其定义为系统的扩展状态,并由适当的扩展状态观测器(ESO)进行估计。进一步,应用适当的闭环控制律,基于总扰动估计,将复杂的纵向和横向控制问题简化为无扰动模型控制。通过不同路径跟随情况和履带滑移动力学的数值仿真,验证了所提UTV控制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active disturbance rejection control of unmanned tracked vehicle
Significant improvement of the unmanned vehicles possibility has achieved by increasing its autonomy, i.e. by excluding the human operator from the guidance loop. In this paper is considered the autonomous control of the unmanned tracked vehicle (UTV) in the presence of the unknown caterpillar tracks slippage. The longitudinal and lateral control model for the UTV path following problem are developed. To handle unknown uncertainties and slippage disturbances, the design of active disturbance rejection control (ADRC) for both, longitudinal and lateral control channels, are proposed. ADRC strategy is enabled that all the control channel uncertainties and disturbances are treated as one lumped (total) disturbance, which is defined as an extended system state and estimated by appropriate extended state observer (ESO). Further, applying the appropriate closed-loop control laws, based on the total disturbance estimation, the complex longitudinal and lateral control problems are reduced to disturbance-free model control. The numerical simulations for the different path following scenarios and caterpillar tracks slippage dynamics are given to verify effectiveness of the proposed UTV control.
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