Title :
Robust Feed-Forward Schemes for Anti-sway Control of Rotary Crane
Author :
Ahmad, M.A. ; Ismail, R. M T Raja ; Ramli, M.S. ; Zakaria, N.F. ; Ghani, N. M Abd
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
Abstract :
This paper presents investigations into the development of robust feedforward control schemes for anti-swaying control of a rotary crane system. A nonlinear rotary crane system is considered and the dynamic model of the system is derived using the Euler-Lagrange formulation. An unshaped square-pulse torque input is used to determine the characteristic parameters of the system for design and evaluation of the feedforward control techniques. Feedforward control schemes based on input shaping and filtering techniques are to be examined. Simulation results of the response of the rotary crane system to the shaped inputs are presented in time and frequency domains. Performances of the control schemes are examined in terms of sway angle reduction and time response specifications. Moreover, the robustness of the feedforward control schemes is discussed. Finally, a comparative assessment of the proposed control techniques is presented and discussed.
Keywords :
cranes; feedforward; frequency-domain analysis; nonlinear control systems; robust control; time-domain analysis; Euler-Lagrange formulation; anti-sway control; anti-swaying control; feedforward control techniques; frequency domain; nonlinear rotary crane system; robust feedforward control schemes; robust feedforward schemes; sway angle reduction; time domain; time response specifications; unshaped square-pulse torque input; Control systems; Cranes; Feedforward systems; Filtering; Frequency domain analysis; Nonlinear dynamical systems; Robust control; Shape control; Time factors; Torque control; Rotary crane; anti-sway control; filtering techniques; input shaping;
Conference_Titel :
Computational Intelligence, Modelling and Simulation, 2009. CSSim '09. International Conference on
Conference_Location :
Brno
Print_ISBN :
978-1-4244-5200-2
Electronic_ISBN :
978-0-7695-3795-5
DOI :
10.1109/CSSim.2009.15