Design of an Active Damping System for Vibration Control of Wind Turbine Towers

Bai, Hao; Aoues, Younès; Cherfils, Jean-Marc; Lemosse, Didier

doi:10.3390/infrastructures6110162

Cited by 11 publications

(8 citation statements)

References 37 publications

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“…The latter is used to rotate the generator to obtain electric current. The mechanical power generated by the turbine can be expressed by relation (1) [7,59,60].…”

Section: Wt Systemmentioning

confidence: 99%

“…Nowadays, energy is a necessity because it is the strongest indicator of any kind of socio-economic development of countries. However, the massive exploitation of fossil fuels is causing an irreversible damage to the ecosystem [1][2][3]. The major factor that has contributed to these problems is the use of oil-dependent energy resources which are not environmental friendly, but are less expensive and more competitive compared to green resources [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

et al. 2022

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Direct power control (DPC) is among the most popular control schemes used in renewable energy because of its many advantages such as simplicity, ease of execution, and speed of response compared to other controls. However, this method is characterized by defects and problems that limit its use, such as a large number of ripples at the levels of torque and active power, and a decrease in the quality of the power as a result of using the hysteresis controller to regulate the capacities. In this paper, a new idea of DPC using artificial neural networks (ANNs) is proposed to overcome these problems and defects, in which the proposed DPC of the doubly fed induction generators (DFIGs) is experimentally verified. ANN algorithms were used to compensate the hysteresis controller and switching table, whereby the results obtained from the proposed intelligent DPC technique are compared with both the classical DPC strategy and backstepping control. A comparison is made between the three proposed controls in terms of ripple ratio, durability, response time, current quality, and reference tracking, using several different tests. The experimental and simulation results extracted from dSPACE DS1104 Controller card Real-Time Interface (RTI) and Matlab/Simulink environment, respectively, have proven the robustness and the effectiveness of the designed intelligence DPC of the DFIG compared to traditional and backstepping controls in terms of the harmonic distortion of the stator current, dynamic response, precision, reference tracking ability, power ripples, robustness, overshoot, and stability.

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“…The latter is used to rotate the generator to obtain electric current. The mechanical power generated by the turbine can be expressed by relation (1) [7,59,60].…”

Section: Wt Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

et al. 2022

View full text Add to dashboard Cite

show abstract

“…All physical systems change and suffer a loss in capacity through time due to progressive deterioration (corrosion, fatigue, creep, etc.) [1][2][3] or shockbased deterioration (extreme events) [4]. This decrease in capacity yields an increase in the likelihood of failure and therefore, regular inspections and maintenance are essential to ensure adherence to the necessary safety standards [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Habeeb,

Bastidas-Arteaga,

Sánchez-Silva

et al. 2024

Environmental Modelling & Software

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“…The Author conducted a comprehensive review of the most promising passive, active, and semi-active vibration control methods focusing on recent advances around novel concepts and analyses of their performance under multiple environmental loads, including wind, waves, currents, and seismic excitations. An active damper named the twin rotor damper was presented by Bai et al [ 64 ] to reduce vibration in wind turbine towers. The twin-rotor damper was used as a damping system for a single degree of freedom (SDOF) oscillator.…”

Section: Introductionmentioning

confidence: 99%

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

Hashemi

Jang

Hosseini-Hashemi

2022

Sensors

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A smart active vibration control (AVC) system containing piezoelectric (PZT) actuators, jointly with a linear quadratic regulator (LQR) controller, is proposed in this article to control transverse deflections of a wind turbine (WT) blade. In order to apply controlling rules to the WT blade, a state-of-the-art semi-analytical solution is developed to obtain WT blade lateral displacement under external loadings. The proposed method maps the WT blade to a Euler–Bernoulli beam under the same conditions to find the blade’s vibration and dynamic responses by solving analytical vibration solutions of the Euler–Bernoulli beam. The governing equations of the beam with PZT patches are derived by integrating the PZT transducer vibration equations into the vibration equations of the Euler–Bernoulli beam structure. A finite element model of the WT blade with PZT patches is developed. Next, a unique transfer function matrix is derived by exciting the structures and achieving responses. The beam structure is projected to the blade using the transfer function matrix. The results obtained from the mapping method are compared with the counter of the blade’s finite element model. A satisfying agreement is observed between the results. The results showed that the method’s accuracy decreased as the sensors’ distance from the base of the wind turbine increased. In the designing process of the LQR controller, various weighting factors are used to tune control actions of the AVC system. LQR optimal control gain is obtained by using the state-feedback control law. The PZT actuators are located at the same distance from each other an this effort to prevent neutralizing their actuating effects. The LQR shows significant performance by diminishing the weights on the control input in the cost function. The obtained results indicate that the proposed smart control system efficiently suppresses the vibration peaks along the WT blade and the maximum flap-wise displacement belonging to the tip of the structure is successfully controlled.

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Design of an Active Damping System for Vibration Control of Wind Turbine Towers

Cited by 11 publications

References 37 publications

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

Conditional seasonal markov-switching autoregressive model to simulate extreme events: Application to river flow

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

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