柔性关节机器人高精度自适应反步法控制

High-precision Adaptive Backstepping Control of Flexible Joint Robots

  • 摘要: 为实现多连杆柔性关节机器人的高精度运动控制,首先对其建立完整的动力学模型,包含了连杆和关节动力学的耦合项、LuGre动态摩擦模型和关节回差等因素.然后针对该模型设计带观测器的自适应反步法控制器,对不可测项进行在线估计和补偿.理论分析证明了观测器的收敛性和闭环系统的稳定性.该方法在一个3DOF(degree of freedom)柔性关节机器人上进行仿真,仿真结果验证了观测器的有效性,并表明该控制器能够降低连杆跟踪误差,实现良好的轨迹跟踪效果.

     

    Abstract: In order to achieve high-precision motion control performance in multi-link flexible joint robots, we present a complete dynamics model, which includes the coupling between the links and the actuators, a LuGre dynamic friction model, and backlash. Based on this dynamics model, we propose an adaptive backstepping control method with observers, in which non-measurable terms are estimated and compensated online. Our theoretical analysis proves the convergence of the observer and the stability of the closed-loop system. The simulation results of this method on a 3-DOF flexible joint robot verify the effectivity of the observer, and demonstrate that the proposed controller can reduce link errors and achieve good trajectory tracking performance.

     

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