Home /Research /Offset-free Model Predictive Control: A Ball Catching Application with a Spherical Soft Robotic Arm
OTHER

Offset-free Model Predictive Control: A Ball Catching Application with a Spherical Soft Robotic Arm

Yao‐Hui Huang, Matthias Hofer, Raffaello D’Andrea

Year
2021
Citations
5

Abstract

This paper presents an offset-free model predictive controller for fast and accurate control of a spherical soft robotic arm. In this control scheme, a linear model is combined with an online disturbance estimation technique to systematically compensate model deviations. Dynamic effects such as material relaxation resulting from the use of soft materials can be addressed to achieve offset-free tracking. The tracking error can be reduced by 35% when compared to a standard model predictive controller without a disturbance compensation scheme. The improved tracking performance enables the realization of a ball catching application, where the spherical soft robotic arm can catch a ball thrown by a human.

Keywords

Control theory (sociology)Model predictive controlOffset (computer science)Computer scienceTracking errorRobotic armBall (mathematics)Control engineeringSimulationArtificial intelligence

Related papers

Browse all OTHER papers