DocumentCode
693785
Title
A Hybrid Controller for Control of a 3-DOF Rotary Crane System
Author
Samin, Reza Ezuan ; Mohamed, Zainai ; Jalani, Jamaludin ; Ghazali, Rozaimi
Author_Institution
Adv. Mechatron. Res. Group, Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
fYear
2013
fDate
3-5 Dec. 2013
Firstpage
190
Lastpage
195
Abstract
This paper presents the development of a hybrid input shaping for anti-sway control of a three degree-of freedom (3-DOF) rotary crane system. A nonlinear equation of motion in a state space form obtained using Euler-Lagrange technique is considered for the crane´s tower in order to control and reduce the sway angle during the rotation. To study the effectiveness of the controllers, initially a Linear Quadratic Regulator (LQR) control is developed for the tower rotation angle of the rotary crane. This controller is then extended to incorporate input shaping techniques for antiswaying control of the system for different payload. Input shaping with different derivative orders was designed based on the properties of the system. Implementation results of the response of the rotary crane with the controllers are presented in time and frequency domains. The performances of input shaping in hybrid control schemes are examined in terms of level of input tracking capability, swing angle reduction, and time response specifications. Finally, a comparative assessment of the proposed control techniques is presented and discussed.
Keywords
cranes; linear quadratic control; motion control; nonlinear control systems; Euler-Lagrange technique; LQR control; anti-sway control; degree-of-freedom; frequency domain; hybrid controller; hybrid input shaping; input tracking capability; linear quadratic regulator; nonlinear motion equation; sway angle control; swing angle reduction; three-DOF rotary crane system; time domain; time response specification; tower rotation angle; Cranes; Damping; Mathematical model; Payloads; Poles and towers; Trajectory; anti-sway control; input shaping; position control; rotary crane;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-1-4799-3250-4
Type
conf
DOI
10.1109/AIMS.2013.37
Filename
6959915
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