Identification and modelling of the friction-induced hysteresis in pneumatic actuators for biomimetic robots

Domenico Colacino, A. Merola, C. Cosentino, F. Amato
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引用次数: 14

Abstract

Pneumatic Artificial Muscle (PAM) is becoming one of the most used actuator technology for the development of biorobotic applications, such as robotic orthoses and wearable exoskeletons, which require the accurate control of the impedance during human-robot interactions. Although the adaptable compliance of PAMs is desirable, the nonlinear and hysteretic relation between contraction length and pulling force, as well as the air pressure within the chamber of the PAM, make difficult the identification and the control of the dynamics of such actuators. After the description of the experimental setup designed for the dynamic identification of PAMs, this paper presents a novel and accurate model of the hysteresis of the mechanical response of PAMs. Some experimental tests have been performed on a real pneumatic muscle in order to reproduce the different features of the hysteretic behavior which are taken into account in the definition of the model. The proposed model, which has been validated through some experiments, provides some advantages in terms of ease of parameter identification and implementation into a control system, thanks to the use of a limited number of parameters.
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仿生机器人气动执行器摩擦滞后辨识与建模
气动人造肌肉(PAM)正成为生物机器人应用开发中最常用的执行器技术之一,如机器人矫形器和可穿戴外骨骼,这些应用需要在人机交互过程中精确控制阻抗。虽然PAM的自适应顺应性是理想的,但由于收缩长度与拉力以及PAM腔内气压之间的非线性和滞后关系,使得这类执行器的动力学识别和控制变得困难。本文在描述了设计用于永磁机动系统动态识别的实验装置的基础上,提出了一种新颖、准确的永磁机动系统力学响应滞后模型。为了再现模型定义中考虑到的滞回行为的不同特征,在实际气动肌肉上进行了一些实验测试。所提出的模型已通过一些实验验证,由于使用有限数量的参数,在参数识别和控制系统实现方面提供了一些优势。
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