基于ESO-SMC的煤矿井下机械臂控制方法

Control Method of Underground Coal Mine Manipulator Based on ESO-SMC

  • 摘要: 针对煤矿井下机械臂系统存在强非线性、参数不确定性以及外部扰动显著,导致控制精度与稳定性难以保障等问题,提出了一种融合扩展状态观测器(Extended State Observer,ESO)与滑模控制(Sliding Mode Control,SMC)的复合控制方法。首先,基于拉格朗日法建立机械臂动力学方程,利用扩展状态对系统总扰动进行建模;其次,设计ESO对系统未知扰动进行精准观测与实时前馈补偿;结合观测信息设计滑模控制律,选用饱和函数以削弱滑模抖振。基于Lyapunov理论对系统稳定性进行分析,验证了该控制方法的有效性与稳定性。最后进行煤矿井下机械臂仿真实验,并与传统滑模控制进行对比分析,实验结果表明本文所提出的ESO-SMC方法在滑模面收敛速度、抗扰动能力以及减轻抖振方面均优于传统滑模控制,能够有效适应煤矿井下复杂恶劣工况,提高机械臂控制系统鲁棒性与精度。

     

    Abstract: To address the inherent strong nonlinearity, parametric uncertainty, and severe external disturbances of un-derground coal mine manipulator systems, which degrade control accuracy and system stability, this paper proposes a composite control method combining an Extended State Observer (ESO) and Sliding Mode Control (SMC). Firstly, the dynamic equation of the manipulator is established using the Lagrangian method, and the lumped system disturbances are modeled as extended states. Secondly, an ESO is constructed to accurately estimate unknown disturbances and implement real-time feedforward compensation. Based on the observed states, a sliding mode control law is designed, and a saturation function is employed to alleviate sliding mode chattering. The Lyapunov stability criterion is utilized to theoretically verify the effectiveness and asymptotic stability of the proposed control strategy. Comparative simulations are conducted on an underground coal mine manipulator, and the results demonstrate that the presented ESO-SMC scheme outperforms conventional SMC in terms of sliding surface convergence rate, disturbance rejection capability, and chattering suppression. The proposed method can effectively adapt to the harsh and complex underground coal mine environments, thereby improving the robustness and tracking accuracy of the manipulator control system.

     

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