Stiffness modeling of non-perfect parallel manipulators

TL;DR

This paper introduces a non-linear stiffness modeling technique for non-perfect parallel manipulators, accounting for geometrical errors and internal forces, improving accuracy in predicting end-effector compliance.

Contribution

It presents a novel non-linear stiffness modeling method that considers geometrical inaccuracies and internal forces in parallel manipulators, enhancing precision over existing linear models.

Findings

The technique accurately predicts stiffness and deflections.

It effectively compensates for geometrical errors.

Application to Orthoglide manipulators demonstrates practical benefits.

Abstract

The paper focuses on the stiffness modeling of parallel manipulators composed of non-perfect serial chains, whose geometrical parameters differ from the nominal ones. In these manipulators, there usually exist essential internal forces/torques that considerably affect the stiffness properties and also change the end-effector location. These internal load-ings are caused by elastic deformations of the manipulator ele-ments during assembling, while the geometrical errors in the chains are compensated for by applying appropriate forces. For this type of manipulators, a non-linear stiffness modeling tech-nique is proposed that allows us to take into account inaccuracy in the chains and to aggregate their stiffness models for the case of both small and large deflections. Advantages of the developed technique and its ability to compute and compensate for the compliance errors caused by different factors are illustrated by an example that deals with parallel manipulators of the Or-thoglide family