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Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot

机译:基于干扰观测器的线性反馈控制器用于仿人机器人的顺应运动

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Actuator modules of humanoid robots have relatively higher joint elasticity than those of industrial robots. Such joint elasticity could lead to negative effects on both the tracking performance and stability for walking. Especially, unstable contact between the foot and ground caused by joint elasticity is a critical problem, as it decreases the stability of position-controlled humanoid robots. To address this problem, this paper introduces a novel control scheme for position-controlled humanoid robots by which we can obtain not only enhance compliance capability for unknown contact but also suppress the vibration caused by joint elasticity. To estimate the disturbance caused by external forces and modeling errors between the actual system and nominal system, a disturbance observer based estimator is designed at each joint. Furthermore, a linear feedback controller for the flexible joint model and a gravity compensator is considered to reduce vibration and deflection due to the joint elasticity. The proposed control scheme was implemented on our humanoid robot, DYROS-JET, and its performance was demonstrated by improved stability during dynamic walking and stepping on objects.
机译:类人机器人的执行器模块具有比工业机器人更高的关节弹性。这种关节弹性可能对跟踪性能和步行稳定性产生负面影响。特别是,由于关节弹性导致脚与地面之间的不稳定接触是一个关键问题,因为它降低了位置控制型人形机器人的稳定性。为了解决这个问题,本文介绍了一种新型的位置控制仿人机器人控制方案,不仅可以提高未知接触的顺应性,而且可以抑制关节弹性引起的振动。为了估算实际系统和标称系统之间的外力和建模误差引起的干扰,在每个关节处都设计了一个基于干扰观测器的估算器。此外,考虑了用于柔性关节模型和重力补偿器的线性反馈控制器,以减少由于关节弹性而引起的振动和挠曲。所提出的控制方案已在我们的类人机器人DYROS-JET上实现,其性能通过动态行走和踩踏物体时提高的稳定性得到证明。

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