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Utility of probability density evolution method for experimental reliability-based active vibration control

Saraygord Afshari, S ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1002/stc.2199
  3. Publisher: John Wiley and Sons Ltd , 2018
  4. Abstract:
  5. The utility of probability density evolution method for reliability-based active vibration control of a cantilevered flexible beam is experimentally investigated. In this respect, an optimal linear quadratic regulator (LQR) is utilized together with an observer to design an online full-state feedback controller. In order to design a well-performing controller and to simulate the controller performance, a system model is obtained via identification techniques. Reliability tests are consequently performed to verify the effectiveness of the presented reliability assessment method as a foundation for reliability-based control. Subsequently, a hybrid metaheuristic optimization scheme of continuous ant colony system is used for simultaneous integrated tuning of the LQR and observer parameters through all processes. Optimization of the controller and the observer is performed with the objective of system structural reliability. An optimized version of classical LQR controller is also developed for making comparisons between the two control methods. Finally, a comparison is made between the mean power consumption of the 2 controllers. It is realized that the reliability-based controller decreases operating costs without compromising system safety. Copyright © 2018 John Wiley & Sons, Ltd
  6. Keywords:
  7. Active vibration control ; piezoelectric sensors/actuators ; Probability density evolution ; Reliability assessment ; Reliability-based optimization ; Ant colony optimization ; Flexible structures ; Operating costs ; Probability density function ; Random processes ; Reliability analysis ; State feedback ; Structural health monitoring ; Structural optimization ; Vibration control ; Active vibration controls ; Probability density evolutions ; Reliability assessments ; Reliability based optimization ; Controllers
  8. Source: Structural Control and Health Monitoring ; Volume 25, Issue 8 , 2018 ; 15452255 (ISSN)
  9. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/stc.2199