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Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials
Ali Hashemi1, Jinwoo Jang1, Shahrokh Hosseini-Hashemi2
1Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA.
Sensors (Basel, Switzerland)
|August 12, 2022
Summary
This study introduces a smart active vibration control system using piezoelectric actuators and a linear quadratic regulator controller to reduce wind turbine blade vibrations. The system effectively suppresses transverse deflections and flap-wise displacement, enhancing blade stability.
Area of Science:
- Mechanical Engineering
- Aerospace Engineering
- Control Systems
Background:
- Wind turbine blades experience significant vibrations due to external forces, impacting performance and longevity.
- Active vibration control (AVC) systems offer a promising solution for mitigating these detrimental effects.
- Piezoelectric (PZT) actuators are effective for implementing AVC due to their rapid response and precise control capabilities.
Purpose of the Study:
- To propose and validate a smart active vibration control (AVC) system for wind turbine (WT) blades.
- To develop a semi-analytical method for accurately modeling WT blade dynamics and deflections.
- To assess the effectiveness of a linear quadratic regulator (LQR) controller integrated with PZT actuators in suppressing blade vibrations.
Main Methods:
- A semi-analytical solution was developed by modeling the WT blade as an Euler-Bernoulli beam.
- Governing equations were derived by integrating PZT actuator dynamics into the beam's vibration equations.
- A finite element model was created, and a transfer function matrix was used to map beam dynamics to the WT blade.
- An LQR controller was designed using state-feedback control law and tuned with weighting factors.
Main Results:
- The semi-analytical method showed satisfying agreement with the finite element model results.
- The accuracy of the method decreased with increased sensor distance from the turbine base.
- The LQR controller demonstrated significant performance in vibration suppression by minimizing control input weights.
- The proposed AVC system effectively reduced vibration peaks and controlled maximum flap-wise displacement at the blade tip.
Conclusions:
- The developed smart AVC system, incorporating PZT actuators and an LQR controller, is highly effective in mitigating wind turbine blade vibrations.
- The semi-analytical approach provides a reliable and efficient tool for analyzing and controlling WT blade dynamics.
- The study highlights the potential for enhanced wind turbine performance and structural integrity through advanced active control strategies.
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