Abstract
Experimental studies on vibration control of a composite beam with a piezoelectricactuator and an extrinsic Fabry–Perot interferometer (EFPI) have been performed using aneural network controller. Because of their interferometric characteristics, EFPI sensorsshow non-linearity as dynamic amplitude increases. Within the linear range of EFPI,conventional control algorithms can be applied without serious difficulty. However,closed-loop control may make the target system unstable when sensor non-linearity getshigh. Therefore, we examine the effects of the non-linearity of the sensor on the controlstability and performance, and investigate any simple method applicable to thevibrations beyond the linear range. For this purpose, a neural controller is adoptedand its performance is experimentally investigated. The neuro-controller showedgood performance and adaptiveness to the sensor’s non-linearity. Although thepresent neuro-controller is not a fundamental solution to vibration control ofstructural systems, it can be a simple practical choice for systems with sensornon-linearity.
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