Vibration control of smart composite structures using shunted piezoelectric systems and neuro-fuzzy techniques

Abstract

Shunt piezoelectric circuits can be used in several combinations for passive control of smart structures. Resonant shunt circuits with resistors and inductors can control resonant frequencies, by consuming the energy produced from vibrations by passing it to electric components. Such systems are very efficient for single-mode problems; however, when it comes to multi-mode control, their performance drastically deteriorates. The purpose of the present study is the development of optimized resonant shunt piezoelectric circuits, along with an intelligent control system based on adaptive neuro-fuzzy techniques, for vibration suppression of smart composite structures. Shunt circuits are pre-tuned to the first four eigenfrequencies and a neuro-fuzzy control system is developed and used for the activation of the suitable shunt circuit, each time, providing the necessary adaptivity to the whole system.

Passive Shunted Piezoelectric Systems for Vibration Control of Wind Turbine Towers: A Feasibility Study

“…Lastly, the methodology for design optimization of shunt circuit parameters for control of a vibration mode of the smart beam is presented. The 1-D FE model is based on the work [15] and the one-degree-of-freedom mass-spring system has been obtained from [41,42].…”

A state-of-the-art on smart materials actuators over the last decade: control aspects for diverse applications

“…From the above discussion, controllers for the piezo actuator are also identified in the application, along with classical forms to modern forms. A summarization of the control for the piezo devices are shown in figure 8 including optimal control [36, 37], LQR control [38,39], switching control [40], fuzzy control [41][42][43][44][45], fuzzy sliding mode control [42], adaptive sliding mode control [46][47][48][49], force control [50], predictive sliding mode control [51][52][53][54], proportional differential (PD) control [41,55,56], PID control [57], H-infinity technique [58], feed-forward control [59], neural networks [60,61], active control [61][62][63][64][65], and identification/delayed feedback/genetic/adaptive models [65][66][67][68][69][70].…”

Modeling of Shunted Piezoelectrics and Enhancement of Vibration Suppression through an Auxetic Interface

“…Several techniques have been proposed on this subject in the literature [ 1 , 2 ]. Composite layered structures and microstructures with bonded piezoelectric materials can be used for this purpose [ 3 , 4 ].…”