Active control of a flexible smart beam using a system identification technique based on ARMAX

Xiongzhu Bu, Lin Ye, Zhongqing Su, Chunhui Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

Abstract

A study on active vibration suppression for a flexible structural beam via a system identification approach was experimentally performed. The beam, incorporating a pair of piezoceramic transducers as actuators and a set of surface-bonded strain gauges as sensors, was evaluated. The relationship between the input control voltage applied on the actuators and the consequently induced strain, measured by the sensor, was then derived. An active control system, considering both the actuators and sensor, was configured using the ARMAX (auto-regressive moving average exogenous) model. A continuous signal with step waveform was selected as the input excitation. A digital-signal-processor-based real-time adaptive vibration control algorithm, supported by Agilent® E1415A, SCPs 1511 and SCPs 1532, was developed, and an algorithm was established using a pole placement control method, so as to achieve the desired closed-loop control. The effectiveness of the ARMAX model was examined by comparing it with the ARX (auto-regression with extra inputs) model. The results show good performance of the ARMAX model for system identification purposes and excellent effectiveness for active structural vibration control.
Original languageEnglish
Pages (from-to)845-850
Number of pages6
JournalSmart Materials and Structures
Volume12
Issue number5
DOIs
Publication statusPublished - 1 Oct 2003
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Atomic and Molecular Physics, and Optics
  • Civil and Structural Engineering
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Electrical and Electronic Engineering

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