面向无损伤机器人易碎水果抓取:气动软抓取器的闭环力控制方法。

Qingyu Wang, Youchao Zhang, Wei Liu, Qiang Li, Jianwei Zhang, Alois Knoll, Mingchuan Zhou, Huanyu Jiang, Yibin Ying
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引用次数: 0

摘要

易碎水果的搬运和包装是采后工业中劳动密集、耗时长的环节。随着全球人口的老龄化,人们期望开发机器人抓取系统来取代人工劳动。然而,易碎水果的无损抓取是机器人化的关键问题。不恰当的抓握力会导致损伤、早期瘀伤或滑倒。气动驱动软夹持器的柔软性和顺应性优势已被广泛应用于农产品和食品操作。然而,气动夹持器是一个复杂的、多变量的、非线性的、长时滞的控制系统,难以实现鲁棒的闭环夹持力控制。为了解决这一问题,我们开发了一种由气动夹持器和矩阵力传感器组成的机器人抓取力控制系统。为解决主接触点变化的问题,探讨了力的分布条件。提出了一种基于卡尔曼滤波和带死区比例积分微分控制器的双闭环控制方法。外部和内部控制回路分别为泵控制器的力控制器和气压控制器。带死区的双闭环控制器通过气压实现对抓握力的鲁棒控制。实验结果验证了KF方法去噪和矩阵力可视化方法探索抓取机构的有效性。为了验证矩阵形式的多个抓取力传感单元和控制器死区的有效性,进行了烧蚀研究。最大稳态误差为0.07 n,验证了抓力控制系统的泛化性能和抗干扰能力。综上所述,本研究解决了气动夹持器抓取力的闭环控制问题,具有在水果采后行业应用的潜力。
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Toward Damage-Less Robotic Fragile Fruit Grasping: A Closed-Loop Force Control Method for Pneumatic-Driven Soft Gripper.

Fragile fruit uploading and packaging are labor-intensive and time-consuming steps in postharvest industry. With the aging of the global population, it is supposed to develop robotic grasping systems to replace manual labor. However, damage-less grasping of fragile fruit is the key problem in robotization. Inappropriate grasping force will result in damage, early-stage bruise, or slip. Benefits from the advantages of softness and compliance of a pneumatic-driven soft gripper have been widely adopted for agricultural product and food manipulation. Nevertheless, pneumatic gripper is a complex, multivariable, nonlinear, and long time-delay control system, which is difficult to achieve robust closed-loop grasping force control. In this study, we aim to solve this problem and developed a robotic grasping force control system with pneumatic gripper and matrix force sensor. The force distribution condition was explored to tackle the problem in changing of the main contact point. A double closed-loop control method was proposed based on Kalman filter (KF) and proportion integration differentiation controller with dead band. The external and internal control loops were force controller and air pressure of the pump controller, respectively. The double closed-loop controller with dead band achieved robust grasping force control through air pressure. The experimental results validated the effectiveness of the KF method for denoising and the matrix force visualization method for exploring grasping mechanism. Ablation studies were carried out to demonstrate the effectiveness of the multiple grasping force sensing units in matrix form and the dead band in the controller. The maximum steady-state error was 0.07 N. In addition, the generalization performance and the antidisturbance ability of the grasping force control system was also validated. In summary, the problem in closed-loop control of the grasping force for pneumatic gripper has been solved in our study, and the method in this research is potential to be deployed in fruit postharvest industry.

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