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Abstract

Intelligent structures with built-in piezoelectric sensors and actuators have been found to be preferable in vibration control. However, it is difficult to model the uncertainties of interfaces between the composite lamina and the embedded sensor/actuator. This article presents an adaptive filter design for system dynamics identification of composite laminated smart structures. A feedforward adaptive controller based on an adaptive filter with dynamic convergence is also developed for vibration suppression. Both the adaptive filter for system identification and the adaptive controller for vibration suppression are implemented in TMS320C32 digital signal processor for real-time applications. Experimental verifications show that the adaptive control is superior to active damping control and it is effective and robust to vibration suppression of smart structures.

Keywords

adaptive filter system identification feedforward control digital signal processor

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Vibration Control of Composite Smart Structures by Feedforward Adaptive Filter in Digital Signal Processor

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