Multi-task Trajectory Tracking Control of Manipulator Based on Two-Layer Sliding Mode Control

Xingyu Wang, Anna Wang, Dazhi Wang, Keling Song, Yongliang Ni, Yufei Qi
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引用次数: 1

Abstract

The adaptive control of manipulator based on sliding mode control and dynamic equation was originally designed and successfully applied to joint space task tracking. However, in the case of multitasking, it has not been extended in practical engineering, so the controller tends to enforce the main engineering tasks, because the parameters tend to the actual values assumed by the model. In view of the influence of multi task control and uncertain disturbance in practical engineering application, the method to deal with this situation has an important impact on manipulator control. In this paper, the transmission delay and dynamic uncertainty are modeled, the multi task constraint is introduced into the dynamics and kinematics model of the manipulator, a two-layer control is proposed, and the trajectory compensation method is introduced. Finally, the effectiveness of the proposed method is verified by simulation and simple manipulator model.
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基于双层滑模控制的机械臂多任务轨迹跟踪控制
设计了基于滑模控制和动力学方程的机械手自适应控制方法,并成功应用于关节空间任务跟踪。然而,在多任务的情况下,它并没有在实际工程中得到扩展,所以控制器倾向于执行主要的工程任务,因为参数倾向于模型假设的实际值。鉴于多任务控制和不确定干扰在实际工程应用中的影响,如何处理这种情况对机械手控制具有重要影响。本文建立了机器人的传递时滞和动态不确定性模型,将多任务约束引入到机器人的动力学和运动学模型中,提出了两层控制,并引入了轨迹补偿方法。最后,通过仿真和简单的机械手模型验证了所提方法的有效性。
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