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Adaptive control and stability analysis of nonlinear crane systems with perturbation Kwon Soon Lee
The Journal of Mechanical Science and Technology, vol. 22, no. 6, pp.1091-1098, 2008
Abstract : This paper presents an adaptive control approach using a model matching technique for 3-DOF nonlinear crane systems.
The proposed control is linearly composed of two control frameworks: nominal PD control and corrective control.
A nonlinear crane model is approximated by means of feedback linearization to design nominal PD control avoiding
perturbation. We propose corrective control to compensate system error feasibly occurring due to perturbation, which is
derived by using Lyapunov stability theory with bound of perturbation. Additionally, we achieve stability analysis for
the proposed crane control system and analytically derive sufficient stability condition with respect to its perturbation.
Numerical simulation is accomplished to evaluate our proposed control and demonstrate its reliability and superiority
compared to traditional control method.
Keyword :
Crane control; Model matching; Perturbation; Lyapunov theory; Feedback linearization
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