Use of neural networks and sliding modes in vibration damping

Sergey V. Drakunov; Umit Ozguner; Layne Lenning

doi:10.1117/12.148409

22 July 1993 Use of neural networks and sliding modes in vibration damping

Sergey V. Drakunov, Umit Ozguner, Layne Lenning

Proceedings Volume 1919, Smart Structures and Materials 1993: Mathematics in Smart Structures; (1993) https://doi.org/10.1117/12.148409
Event: 1993 North American Conference on Smart Structures and Materials, 1993, Albuquerque, NM, United States

Abstract

This paper discusses a control algorithm for active vibration suppression in flexible structures with distributed actuation. This control algorithm employs an integral transformation of the distributed-parameter system such that the transformed system behaves according to a desired second-order partial differential equation in space and time. Furthermore, a neural network is used to learn and perform this integral transformation which can be very difficult to calculate analytically and which has a kernel that is generally nonlinear. Once the system has been transformed, sliding mode control algorithms may be used to yield a closed-loop system which is insensitive to disturbances or parameter variations. An Euler-Bernoulli beam with piezoelectric actuation will be considered as an illustrative example of this particular strategy.

Citation Download Citation

Sergey V. Drakunov, Umit Ozguner, and Layne Lenning "Use of neural networks and sliding modes in vibration damping", Proc. SPIE 1919, Smart Structures and Materials 1993: Mathematics in Smart Structures, (22 July 1993); https://doi.org/10.1117/12.148409

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