Using an Utkin Observer Based Controller for a Trajectory Tracking of an Overhead Crane System

Ailane Abdellah(1*), Aitelmahjoub Abdelhafid(2), Rachik Mostafa(3)

(1) Navy school, United States
(2) Elkhaouarizmy school, Morocco
(3) Faculty of sciences Ben m’sik, Morocco
(*) Corresponding author


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Abstract


This paper presents a new methodological approach to design an Utkin observer-controller for an overhead crane system; first a nonlinear model is given and then linearized. A sliding mode observer is designed to reconstruct the state vector using only the measurement of the displacement of the crane, finally a control law is constructed to realize a trajectory tracking. The proposed scheme guarantees the stability of the closed-loop system. All the simulations are done using Matlab/Simulink.
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Keywords


Utkin Observer; Crane System; Ackermann’s Method; Pole Placement; Sliding Mode Control

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References


D.G. Luenberger, “observers for multivariable systems”, IEEE trans. Automat. contr. vol 11, pp. 190-197,1971.

D.G. Luenberger, “An introduction to observers”, IEEE trans, Automat contr, vol 16, pp. 596-602, 1966.

V.I. Utkin, “Sliding mode in control optimization”, Springer Verlag, Berlin, 1992 .

Kumar, T.A., Ramana, N.V., Design of optimal sliding mode functional observer for load frequency control in multi-area deregulated thermal system, (2012) International Review on Modelling and Simulations (IREMOS), 5 (6), pp. 2532-2545.

V.I. Utkin, J.Guldner and J.Shi, “Sliding mode control in electromechanical systems”, Taylor 1999.

H. Alwi, C, Edwards, C. Pen Tan, “fault detection and fault-tolerant control using sliding modes”, Springer verlag, London, 2011.

N.K. Yew, “Advancements in robust fault reconstruction using sliding mode observers”, thesis. Moash University, April, 2009.

K.Kalsi, S.Hui and Zak, “unknown input and sensor fault estimation using sliding modes observers”, American control conference, San Francisco, USA, June 29-July 1, 2011.

Y.Yalcim, S Kurtulan, L. Goren, Discrete-time control of crane system via PBC technique, (2011) International Review of Automatic Control (IREACO), 4 (4), pp. 580-587.

A.J.Koshkouei, S.I.Zinober, “Sliding mode controller observer for multivariable linear systems with matched”, Institute of information and automation, Kybernitika, vol 36, No 1, pp. 95-105, 2000.

Abdellah, A., Abdelhafid, A., Mostafa, R., Combining sliding mode and linear quadratic regulator to control the inverted pendulum, (2013) International Review of Automatic Control (IREACO), 6 (1), pp. 69-76.

D.Qian, J.Yi, “Design of combining sliding mode controller for overhead crane systems”, IJCA journal, vol 6, N 1, February 2013.

H.Sira-Ramirez, S.K.Spurgeon, “On the robust design of sliding observers for linear systems “, systems and control and letters 23, pp. 9-14, North Holland, 1994.

S.Ogata, “Modern control engineering”, third edition, Prentice Hall, New Jersey, 1997.

Mezouar, A., Terras, T., Fellah, M.K., Hadjeri, S., Composite sliding mode control of induction motors using singular perturbation theory, (2012) International Review of Automatic Control (IREACO), 5 (6), pp. 901-910.

H.Omar, “Control of Gantry and tower Cranes”, Thesis, Virginia polytechnic institute, January 2003.

A.Piazzi, A.Visioli, “Optimal dynamic inversion-based control of an overhead crane”, IEE proc-control theory, vol.149, No.5, September 2002.

S.Janusz, J.Smoczack, “Adaptation control technique of overhead crane mechanisms”, IJMER journal, vol. 13, N.5, pp. 113-121, 2007.

R. Rigoberto, W.Yu, X.Li, “Anti swing control for overhead crane with neural compensation”, international conference on neural networks, Vancouver, July 16-21, Canada, 2006.

F.Boustany, N.D’Andrea, “Adaptive control of non-completely controlled mechanical system using dynamic feedback linearization and estimation design”, International journal of adaptive control signal processing, vol 6, N 5, pp.589-610, 1992.

J. Hua Yang, “ On the adaptive tracking control of 3D overhead crane system”, Adaptive control, pp. 277-301, intechopen, Pingtung Taiwan, 2009.


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