DocumentCode
1775451
Title
Robust control for crane considering all varying parameters in the dynamics
Author
Ushida, Yuki ; Narita, Masaki ; Ushiro, Takushi ; Gan Chen ; Takami, Isao
Author_Institution
A Grad. Sch. of Sci. & Eng., Nanzan Univ., Seto, Japan
fYear
2014
fDate
18-20 June 2014
Firstpage
785
Lastpage
790
Abstract
In this study, a design method of gain scheduling control based on a parameter dependent Lyapunov function for a crane is proposed. The method takes all varying parameters of crane dynamics into account. The Euler-Lagrange equation of the crane has velocity and acceleration of rope length. Velocity and acceleration of the rope length are not ignored in a dynamics, but the rope length, its velocity and acceleration are treated as time-varying parameters. The mass of the load is treated as uncertain but time-invariant parameter. A dynamics of the crane has rational expressions of scheduling parameters. To obtain affine system for the scheduling parameters, we adopt Linear Fractional Transformation with redundant descriptor representation. A gain scheduling controller based on the parameter dependent Lyapunov function is designed. The time-varying parameters are treated as scheduling parameters. The effectiveness of the proposed method is illustrated by simulations.
Keywords
Lyapunov methods; acceleration control; affine transforms; control system synthesis; cranes; robust control; scheduling; time-varying systems; velocity control; Euler-Lagrange equation; acceleration; affine system; crane dynamics; design method; gain scheduling controller; linear fractional transformation; parameter dependent Lyapunov function; rational expression; redundant descriptor representation; robust control; rope length; scheduling parameter; time-invariant parameter; time-varying parameter; velocity; Acceleration; Closed loop systems; Cranes; Load modeling; Lyapunov methods; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/ICCA.2014.6871021
Filename
6871021
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