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22 July 1993 Use of neural networks and sliding modes in vibration damping
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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