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

机译:基于干扰观察者的线性反馈控制器,用于符合人形机器人的运动

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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:人形机器人的执行器模块具有比工业机器人的关节弹性相对较高。这种关节弹性可能导致对行走的跟踪性能和稳定性产生负面影响。特别是,通过关节弹性引起的脚和地之间的不稳定接触是关键问题,因为它降低了位置控制的人形机器人的稳定性。为了解决这一问题,本文介绍了一种用于定位控制的人形机器人的新型控制方案,我们不仅可以增强对未知接触的顺应性能力,而且还可以抑制接合弹性引起的振动。为了估计由外力和实际系统和标称系统之间的建模误差引起的干扰,在每个接头上设计了一种干扰观察者的估计器。此外,用于柔性接合模型和重力补偿器的线性反馈控制器被认为是由于关节弹性而降低振动和偏转。所提出的控制方案在我们的人形机器人,塞尔斯 - 射流上实施,并通过动态行走和踩在物体上的稳定性提高了其性能。

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