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Stabilization System of Convey-Crane Position Via Sigmoidal Function

https://doi.org/10.17587/mau.20.609-614

Abstract

In this paper, we consider the convey-crane system, which can transport loads for industrial purposes. The mathematical model, describing the motion of convey-crane, is presented by a Lagrangian mechanical system of nonlinear equations with two degrees of freedom and one control action. It is supposed that the rope has no mass, its stiffness is not taken into account, and there is no friction in the joints. The stabilization problem of the desired convey-crane position is posed underuncertain mass inertia characteristics, an action of non-smooth bounded disturbances and incomplete measurements. Based on the passivity property, the control law with linear and sigmoidal parts is constructed for the solution of the problem. The only measurement of the convey-crane position is available without a noise in the measurements. We use the low order observer with sigmoidal corrective action to obtain the needed velocity estimates for the control law. It is shown that the using of sigmoidal function as a prelimit realization of sign-function provides disturbances invariance with the given accuracy. With respect to the smoothness and boundness, sigmoidal function helps to avoid overshoot in the transient responses and excessive consumption of control resources. Moreover, unlike the sign-function, a sigmoidal function is realized in the electromechanical systems with actuator dynamics, in which the physical restrictions on the forces and general moments are posed. The constructed control law with linear and sigmoidal parts is simulated for the convey-crane system in MATLAB- Simulink. The classical PD-controller is simulated too for the purpos e of comparison. The results of modeling are proved the effectiveness of the proposed approach.

About the Authors

A. S. Antipov
V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
Russian Federation
Mathematician


S. A. Krasnova
V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
Russian Federation


References

1. Le Tuan Anh, Gook-Hwan Kim, Min Young Kim, Soon-Geul Lee. Partial Feedback Linearization Control of Overhead Cranes with Varying Cable Lengths, International Journal of Precision Engineering and Manufacturing, 2012, vol. 13, no. 4, pp. 501—507.

2. Bálint K., Na W. Robust exact linearization of a 2D overhead crane, IF AC-PapersOnLine, 2018, vol. 51, no. 22, pp. 354—359.

3. A nan’evskii I. M. The Control of a Three-Link I nverted Pendulum Near the Equilibrium Poi nt, Mechanics of Solids, 2018, vol. 53, pp. 16—21.

4. Fantoni I., Lozano R. Non-linear control for underactuated mechanical systems, London: Springer Verlag, 2002, pp. 43—51.

5. Diantong Liu, Weiping Guo, Jianqiang Yi, Dongbin Zhao. Passivity-based-control for a class of underactuated mechanical systems // Pro ceedings of 2004 International Conference on Intelligent Mechatronics and Automation, 2004, pp. 50—54.

6. Romero J. G., Donaire A., Borja P. Global Stabilisation of Underactuated Mechanical Syste ms via PID Passivity-Based Control, IFAC-PapersOnLine, 2017, vol. 50, no. 1, pp. 9577—9582.

7. Papadopoulos A. D., Rompokos A. A., Alexandridis A. T. Nonlinear and observer-based PD position and sway control of convey-crane systems, 2016 24th Mediterranean Conference on Control and Automation (MED), 2016, pp. 696—70 0.

8. Slotine J. E. Sliding controller design for non-linear systems, International Journal of Control, 1984, vol. 40, no. 2, pp. 421—434.

9. Utkin V. I., Guldner J., Shi J. Sliding mode control in electromechanical systems, NewYork, CRC Press, 2009, 503 p.

10. Qian D., Yi J., Zhao D., Hao Y. Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, pp. 4977—4982.

11. Yi-Jen Mon, Chih-Min Lin. Hierarchical fuzzy slidingmode control, 2002 IEEE Worl d Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE’02. Proceedings (Cat. No.02CH37291), 2002, vol. 1, pp. 656—661.

12. Krasnova S. A., Utkin A. V. Sigma function in observer design for states and perturbations, Automation and Remote Control, 2016, vol. 77, no. 9, pp. 1676—1688.


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For citations:


Antipov A.S., Krasnova S.A. Stabilization System of Convey-Crane Position Via Sigmoidal Function. Mekhatronika, Avtomatizatsiya, Upravlenie. 2019;20(10):609-614. (In Russ.) https://doi.org/10.17587/mau.20.609-614

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ISSN 1684-6427 (Print)
ISSN 2619-1253 (Online)