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.
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J. Yu, F. L. Lewis and T. Huang, Nonlinear feedback control of a gantry crane, Proc. of American Control Conference, USA (1995) 4310–4315.
K. Yoshida and H. Kawabe, A design of saturating control with a guaranteed cost and its application to the crane control systems, IEEE Trans. on Automatic Control, 37 (1992) 121–127.
S. C. Martindale, D. M. Dawson, J. Zhu and C. Rahn, Approximate nonlinear control for a two degree of freedom overhead crane: theory and experimentation, Proc. of American Control Conference, USA, (1995) 301–305.
K. A. F. Moustafa and A. M. Ebeid, Nonlinear modeling and control of overhead crane load sway, J. of Dynamic Systems, Measurement, & Control, 110 (1988) 266–271.
H. Lee, Modeling and control of a three-dimensional overhead cranes, J. of Dynamic Systems, Measurement, & Control, 120 (1998) 471–476.
I. Fantoni, R. Lozano and M. W. Spong, Energy based control of the pendubot, IEEE Trans. on Automatic Control, 45 (2000) 725–729.
Y. Fang, E. Zergeroglu, W. E. Dixon and D. M. Dawson, Nonlinear coupling control laws for an overhead crane system, Proc. of IEEE Conf. on Control Applications, (2001) 639–644.
Hyun C. Cho, M. Sami Fadali, Young J. Lee and Kwon S. Lee, Neural robust control for perturbed crane systems, J. of Mechanical Science & Technology, 20(5) (2006) 591–601.
H. K. Khalil, Nonlinear systems, Prentice Hall, New Jersey, USA (1996).
Guez, J. L. Eilbert and M. Kam, Neural network architecture for control, IEEE Control Systems Magazine, 8(2) (1988) 22–25.
L. R. Hunt and G. Meyer, Global transformations of nonlinear systems, IEEE Trans. on Automatic Control, 28(1) (1983) 24–31.
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Cho, H.C., Lee, K.S. Adaptive control and stability analysis of nonlinear crane systems with perturbation. J Mech Sci Technol 22, 1091–1098 (2008). https://doi.org/10.1007/s12206-008-0216-0
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DOI: https://doi.org/10.1007/s12206-008-0216-0