Title :
Adaptive Sliding-Mode Antisway Control of Uncertain Overhead Cranes With High-Speed Hoisting Motion
Author :
Mun-Soo Park ; Dongkyoung Chwa ; Myunghwan Eom
Author_Institution :
Korea Inst. of Aerosp. Technol., Daejeon, South Korea
Abstract :
This paper proposes an adaptive sliding-mode antisway control law for uncertain overhead cranes with high-speed hoisting motion. Since the sway dynamics are disturbed by the trolley acceleration and hoisting velocity, antisway control law is designed based on the sliding mode control by defining a sliding surface in such a way that the trolley acceleration contributes to the sway dynamics as nonlinear damping in sliding mode. In addition, this nonlinear damping is designed such that it dominates the inherent damping coupled with the hoisting velocity so that the asymptotic stability of the sway dynamics can be achieved. To cope with system uncertainties such as system parameter variations, unknown actuator nonlinearities, unmodeled dynamics, and external disturbances, we design a fuzzy uncertainty observer and incorporate it into the sliding-mode antisway control law. Via the stability analysis and computer simulations, we show that the proposed control law guarantees the robust antisway performance of overhead cranes, regardless of hoisting velocity, even in the presence of system uncertainties.
Keywords :
adaptive control; asymptotic stability; control system synthesis; cranes; damping; fuzzy systems; hoists; motion control; nonlinear control systems; observers; robust control; trolleys; variable structure systems; adaptive sliding-mode antisway control law design; asymptotic stability analysis; computer simulations; external disturbances; fuzzy uncertainty observer design; high-speed hoisting motion; hoisting velocity; inherent damping; nonlinear damping design; robust antisway performance; sliding surface; sway dynamics; system parameter variation; system uncertainties; trolley acceleration; uncertain overhead cranes; unknown actuator nonlinearities; unmodeled dynamics; Acceleration; Actuators; Cranes; Damping; Dynamics; Equations; Uncertainty; Adaptive sliding-mode antisway control; fuzzy uncertainty observer (FUO); high-speed hoisting motion; overhead crane;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2013.2290139