title
  

Stable physical human-robot interaction using fractional order admittance control

Aydın, Yusuf and Tokatlı, Ozan and Patoğlu, Volkan and Başdoğan, Çağatay (2018) Stable physical human-robot interaction using fractional order admittance control. IEEE Transactions on Haptics . ISSN 1939-1412 (Print) 2329-4051 (Online) Published Online First http://dx.doi.org/10.1109/TOH.2018.2810871

This is the latest version of this item.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/TOH.2018.2810871

Abstract

In the near future, humans and robots are expected to perform collaborative tasks involving physical interaction in various environments, such as homes, hospitals, and factories. Robots are good at precision, strength, and repetition, while humans are better at cognitive tasks. The concept, known as physical human-robot interaction (pHRI), takes advantage of these abilities and is highly beneficial by bringing speed, flexibility, and ergonomics to the execution of complex tasks. Current research in pHRI focuses on designing controllers and developing new methods which offer a better tradeoff between robust stability and high interaction performance. In this paper, we propose a new controller, fractional order admittance controller, for pHRI systems. The stability and transparency analyses of the new control system are performed computationally with human-in-the-loop. Impedance matching is proposed to map fractional order control parameters to integer order ones, and then the stability robustness of the system is studied analytically. Furthermore, the interaction performance is investigated experimentally through two human subject studies involving continuous contact with linear and nonlinear viscoelastic environments. The results indicate that the fractional order admittance controller can be made more robust and transparent than the integer order admittance controller and the use of fractional order term can reduce the human effort during tasks involving contact interactions with environment.

Item Type:Article
Subjects:UNSPECIFIED
ID Code:36305
Deposited By:Volkan Patoğlu
Deposited On:05 Sep 2018 12:38
Last Modified:05 Sep 2018 12:38

Available Versions of this Item

Repository Staff Only: item control page