DocumentCode :
3352778
Title :
Robustness analysis of input-shaped model reference control on a double-pendulum crane
Author :
Fujioka, Daichi ; Shah, Manan ; Singhose, William
Author_Institution :
Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
2561
Lastpage :
2566
Abstract :
This paper analyzes the robustness of input-shaped model reference control when applied to a double-pendulum crane using a linear single-pendulum crane as the reference model. The single- and double-pendulum crane dynamics are derived and then used to develop the input-shaped model reference control scheme. The robustness of the controller is enhanced to handle both parameter variations and the system order difference between the reference model and the plant. The natural frequencies of the cranes are calculated and utilized to design a three-mode zero-vibration input shaper. A Lyapunov control law using only the states associated with the first mode is derived. The robustness of the proposed controller in state tracking and oscillation suppression performances are analyzed and verified via numerical simulations and experiments. The controller has good robustness to the parameter estimation errors and the fundamental system order difference between the reference model and the plant.
Keywords :
Lyapunov methods; control system synthesis; cranes; model reference adaptive control systems; robust control; vehicle dynamics; Lyapunov control law; controller robustness; crane dynamics; double-pendulum crane; input-shaped model reference control; linear single-pendulum crane; natural frequencies; oscillation suppression; parameter estimation errors; parameter variations; robustness analysis; state tracking; system order difference; three-mode zero-vibration input shaper design; Cranes; Indexes; Mathematical model; Oscillators; Payloads; Robustness; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171120
Filename :
7171120
Link To Document :
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