Generalized Flexible Hybrid Cable-Driven Robot (HCDR): Modeling, Control, and Analysis

TL;DR

This paper introduces a generalized modeling and control framework for hybrid cable-driven robots, enhancing accuracy and vibration reduction through innovative dynamic modeling and integrated control strategies.

Contribution

It develops a novel dynamic modeling approach applicable to hybrid robots and proposes integrated control strategies that significantly improve tracking and vibration suppression.

Findings

Enhanced end-effector tracking accuracy

Effective vibration reduction strategies

Superior performance of the integrated control system

Abstract

This paper presents a generalized flexible Hybrid Cable-Driven Robot (HCDR). For the proposed HCDR, the derivation of the equations of motion and proof provide a very effective way to find items for generalized system modeling. The proposed dynamic modeling approach avoids the drawback of traditional methods and can be easily extended to other types of hybrid robots, such as a robot arm mounted on an aircraft platform. Additionally, another goal of this paper is to develop integrated control systems to reduce vibrations and improve the accuracy and performance of the HCDR. To achieve this goal, redundancy resolution, stiffness optimization, and control strategies are studied. The proposed optimization problem and algorithm address the limitations of existing stiffness optimization approaches. Three types of control architecture are proposed, and their performances (i.e., reducing undesirable vibrations and trajectory tracking errors, especially for the end-effector) are evaluated using several well-designed case studies. Results show that the fully integrated control strategy can improve the tracking performance of the end-effector significantly.