Passivity-Based Adaptive Control of a 5-DOF Tower Crane

Julia Schatz, Ryan James Caverly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper presents a passivity-based adaptive control law for the payload trajectory tracking control of a three-dimensional tower crane with five degrees of freedom. The proposed method extends upon a two-dimensional tower crane control method in the literature by accounting for the additional nonlinearities that arise due to the rotation of the crane's jib. An adaptive control input ensures the tower crane features a passive input-output mapping. A novel approach is developed to bound the time derivative of the system's mass matrix, which is key to the proof of passivity. Robust closed-loop input-output stability is proven using the Passivity Theorem. Numerical simulations are performed, showing the effectiveness of the control law on the three-dimensional tower crane.

Original languageEnglish (US)
Title of host publicationCCTA 2021 - 5th IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1109-1114
Number of pages6
ISBN (Electronic)9781665436434
DOIs
StatePublished - 2021
Event5th IEEE Conference on Control Technology and Applications, CCTA 2021 - Virtual, San Diego, United States
Duration: Aug 8 2021Aug 11 2021

Publication series

NameCCTA 2021 - 5th IEEE Conference on Control Technology and Applications

Conference

Conference5th IEEE Conference on Control Technology and Applications, CCTA 2021
Country/TerritoryUnited States
CityVirtual, San Diego
Period8/8/218/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

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