Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32601
Active Control Improvement of Smart Cantilever Beam by Piezoelectric Materials and On-Line Differential Artificial Neural Networks

Authors: P. Karimi, A. H. Khedmati Bazkiaei


The main goal of this study is to test differential neural network as a controller of smart structure and is to enumerate its advantages and disadvantages in comparison with other controllers. In this study, the smart structure has been considered as a Euler Bernoulli cantilever beam and it has been tried that it be under control with the use of vibration neural network resulting from movement. Also, a linear observer has been considered as a reference controller and has been compared its results. The considered vibration charts and the controlled state have been recounted in the final part of this text. The obtained result show that neural observer has better performance in comparison to the implemented linear observer.

Keywords: Smart material, on-line differential artificial neural network, active control, finite element method.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 735


[1] B. Culshaw, "Smart structures: A concept or reality", Journal of Systems and Control Eng., Vol. 26, No. 206, pp. 1-8, 1992.
[2] S. Rao, M. Sunar, "Piezoelectricity and its uses in disturbance sensing and control of flexible structures: A survey", applied Mechanics rev., Vol. 17, No. 2, pp. 113-119, 1994.
[3] T. Baily, J. E. Jr Hubbard, "Distributed piezoelectric polymer active vibration control of a cantilever beam." Journal of Guidance, Dynamics and Control, Vol. 8, No. 5, pp.605-611, 1985.
[4] S. Hanagud, M. W. Obal, A. J. Callise, "Optimal vibration control by the use of piezoelectric sensors and actuators," J Contr. Guidance, Vol. 15, No. 5, pp. 1199-1206, 1992.
[5] J. L. Fanson, T. K. Caughey, "Positive position feedback control for structures," AIAA J. Vol.18, No. 4, pp. 717-723, 1990.
[6] J. S. Burdess, J. N. Fawcett, "Experimental evaluation of piezoelectric actuator for the control of vibrations in a cantilever beam", J. Syst. Control. Engg. Vol. 206, No. 12, pp. 99-106, 1992.
[7] M. J. Brennan, J. G. Bonito, S. J. Elliot, A. David, Pinnington R. J., "Experimental investigation of different actuator technologies for active vibration control", Smart Materials and Structures, Vol. 8, No. 3, pp. 145-153, 1999.
[8] S. M. Yang, Y.J Lee, "Optimization of non-collocated sensor / actuator location and feedback gain in control system," Smart Materials and Structures J., Vol. 8, pp. 96-102, 1993.
[9] E. F. Crawley, J. De. Luis, "Use of piezoelectric actuators and elements of intelligent structures, AIAA J., Vol. 25, pp. 1373-1385, 1987.
[10] P. Gaudenzi, R. Carbonaro, E. Benzi, "Control of beam vibrations by means of piezoelectric devices: theory and experiments," Composite Structures, Vol. 50, No. 4, pp. 373-379, 2000.
[11] Y. G. Sung, "Modelling and control with piezo-actuators for simply supported beam under a moving mass," Journal of Sound and Vibration, Vol. 250, No. 4, pp. 617-626, 2002.
[12] S. X. XU, T.S. Koko, "Finite element analysis and design of actively controlled piezoelectric smart structures", Finite Element in Analysis and Design, Vol. 40, pp. 241-262, 2004.
[13] M. H. Lin Jin-Chein, Nien, "Adaptive control of a composite cantilever beam with piezoelectric damping-modal actuators/sensors", Composite Structures, Vol. 70, pp. 170-176, 2005.
[14] C. M. A. Vasques, Dias Rodrigues J., " Active vibration control of smart piezoelectric beams: comparison classical and optimal feedback control strategies," Computers and Structures, Vol. 84, No.22-23, pp.1402- 1414, 2006.
[15] J. Ducarne, O. Thomas, J. F. Deu, "Placement and dimension optimization of shunted piezoelectric patches for vibration reduction," Journal of Sound and Vibration, Vol. 331, No 14, pp. 3286-3303, 2012.
[16] S. Kumar, R. Srivastava, R. K. Srivastava, “Active Vibration CONTROL of smart piezo Cantilever Beam Using PID Controller”, International Journal of Research in Engineering and Technology”, Vol. 03, Issue: 01, eISSN: 2319-1163, 2014.
[17] A. Poznyak, E. Sanchez, W. Yu, "Differential Neural Networks for Robust Nonlinear Control Identification, State Estimation and Trajectory Tracking". World Scientific, 2001.