Quasi-static Optimal Control Strategy of Lattice Boom Crane Based on Large-Scale Flexible Non-linear Dynamics

Lingchong Gao, Xiaobing Dai, Michael Kleeberger, Johannes Fottner

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Lattice boom cranes are usually used to lift heavy loads with the optimized lattice structure of the boom structure. Considering the huge mass of the payload and the crane itself, the flexibility of the crane boom structure cannot be ignored. The elastic vibrations mainly accrue at the lattice boom, the luffing system, and the cables. In this paper, several flexible multibody dynamic models are established as the beam elements (spatial Timoshenko beam), the rod elements (strut tie model), and the rope elements (ideal cubic spline model). In addition, a super truss element formulation for the regular truss structure is proposed to reduce the number of degrees of freedom of the complex lattice boom components. For controlling the large-scale nonlinear dynamic system, a quasi-static optimal control strategy is designed to realize the controllable motions for the specified complex system. This method combines the static mapping relationship with the target optimal trajectory to generate the optimal trajectories of control inputs. Through the elementary motions, the dynamic calculation of the lattice boom crane is performed to simulate the lifting, the luffing, and the slewing stages. In the aspect of control, the static mapping relationship between the key state variables and the control variables is established. A specified lifting task is designed to verify the quasi-static optimal control strategy.

OriginalspracheEnglisch
TitelSimulation and Modeling Methodologies, Technologies and Applications - International Online Conference SIMULTECH 2021
Redakteure/-innenGerd Wagner, Frank Werner, Tuncer Oren, Floriano De Rango
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten153-177
Seitenumfang25
ISBN (Print)9783031231483
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021 - Virtual, Online
Dauer: 7 Juli 20219 Juli 2021

Publikationsreihe

NameLecture Notes in Networks and Systems
Band601 LNNS
ISSN (Print)2367-3370
ISSN (elektronisch)2367-3389

Konferenz

Konferenz11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021
OrtVirtual, Online
Zeitraum7/07/219/07/21

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