Anti-sway and positioning control of a double-pendulum Electrically Overhead Travelling Crane
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URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2023-08-21
Department
Major/Subject
Control, Robotics and Autonomous Systems
Mcode
ELEC3025
Degree programme
AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)
Language
en
Pages
54+3
Series
Description
Supervisor
Visala, ArtoThesis advisor
Rintanen, KariKeywords
overhead cranes, anti-sway, LQR, estimation, trajectory tracking