A Large Force Haptic Interface with Modular Linear Actuators

Author:

Jung Yeongtae12ORCID,Ramos Joao34

Affiliation:

1. Department of Mechanical System Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea

2. Advanced Transportation Machinery Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea

3. Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

4. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

Abstract

This paper presents a haptic interface with modular linear actuators that addresses the limitations of conventional devices based on rotary joints. The proposed haptic interface is composed of parallel linear actuators that provide high backdrivability and small inertia. The performance of the haptic interface is compared to those of conventional mechanisms in terms of force capability, reflected inertia, and structural stiffness. High stiffness, large range of motion, and high force capability, which are in trade-off relationships in traditional haptic interfaces, are achieved. The device can apply up to 83 N continuously, i.e., three-fold more than most haptic devices. The theoretical minimum haptic force density and stiffness of the proposed mechanism are 1.3 to 1.9 and 37 times those of the conventional mechanisms under similar conditions, respectively. The system is scalable because the structural stiffness depends on only the timing belt stiffness, whereas that of conventional haptic interfaces is inversely proportional to the cube of the structural length. The modular actuator enables changes in the degrees of freedom (DOFs) for different applications. The proposed haptic interface was tested through an interaction experiment in a virtual environment with virtual walls.

Funder

a gift from Google and by the National Science Foundation

research funds for newly appointed professors of Jeonbuk National University

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

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