Adaptive fuzzy sliding mode control of smart structures
- 208 Downloads
Smart structures are usually designed with a stimulus-response mechanism to mimic the autoregulatory process of living systems. In this work, in order to simulate this natural and self-adjustable behavior, an adaptive fuzzy sliding mode controller is applied to a shape memory two-bar truss. This structural system exhibits both constitutive and geometrical nonlinearities presenting the snap-through behavior and chaotic dynamics. On this basis, a variable structure controller is employed for vibration suppression in the chaotic smart truss. The control scheme is primarily based on sliding mode methodology and enhanced by an adaptive fuzzy inference system to cope with modeling inaccuracies and external disturbances. The robustness of this approach against both structured and unstructured uncertainties enables the adoption of simple constitutive models for control purposes. The overall control system performance is evaluated by means of numerical simulations, promoting vibration reduction and avoiding snap-through behavior.
KeywordsShape Memory Shape Memory Alloy European Physical Journal Special Topic Energy Harvest Smart Structure
Unable to display preview. Download preview PDF.
- 2.D.C. Lagoudas, Shape Memory Alloys: Modeling and Engineering Applications (Springer-Verlag, New York, 2008)Google Scholar
- 4.L.G. Machado, M.A. Savi, Braz. J. Med. Biol. Res. 36, 683 (2003)Google Scholar
- 7.F. Auricchio, R.L. Taylor, in Proceedings SPIE Vol. 2779, 3rd International Conference on Intelligent Materials and 3rd European Conference on Smart Structures and Materials, Lyon, 1996, edited by P.F. Gobin, J. Tatibouet (SPIE, 1996), p. 487Google Scholar
- 19.Z.P. Bazant, L. Cedolin, Stability of Structures: Elastic, Inelastic, Fracture, and Damage Theories (World Scientific Publishing Company, Singapore, 2010)Google Scholar
- 22.W.M. Bessa, R.S.S. Barrêto, Control. Autom 21, 117 (2010)Google Scholar
- 25.M.A. Savi, A.M.B. Braga, J. Braz. Soc. Mech. Sci. Eng. 15, 1 (1993)Google Scholar
- 32.J.-S.R. Jang, C.-T. Sun, E. Mizutani, Neuro Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (Prentice Hall, New Jersey, 1997)Google Scholar