Neuroadaptive Variable Speed Control of Wind Turbine With Wind Speed Estimation

Li, Danyong; Cai, Wenchuan; Li, Peng; Jia, Zi-Jun; Chen, Houjin; Song, Yongduan

doi:10.1109/tie.2016.2591900

Cited by 37 publications

(21 citation statements)

References 25 publications

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“…Suppose that we need to track the optimal power for WCSs . In this study, we assume that Only ω is measurable; i d and i q (hence T e ) are unknown state variables. Wind speed v and aerodynamic torque T a are unknown and arbitrary. Because, the information of i d , T e , and T a are not available, the recent methods are failed to design a controller for tracking the optimal power. In addition, because the aerodynamic torque T a is arbitrary, therefore, it maybe does not fulfill the constraints, which make the proposed methods in these studies unable to apply for this case.…”

Section: System Description and Problem Statementmentioning

confidence: 99%

“…It is due to their endlessness and cleanness. In WECSs, wind speed is key information to be known in real time . Unfortunately, it is not easy to measure it with enough precision for control systems.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the measurements with anemometers increase the cost as well as reduce the reliability of the overall systems . Another approach is to use the Kalman filters and gray models and genetic algorithms . Although these methods can estimate wind speed with high accuracy, the methods are complicated, costly, and not easy to implement.…”

Section: Introductionmentioning

confidence: 99%

“…In WECSs, wind speed is key information to be known in real time. [1][2][3][4][5][6][7][8][9][10][11] Unfortunately, it is not easy to measure it with enough precision for control systems. Several methods have been developed to obtain the information of wind speed in past few years.…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5][6][7] Another approach is to use the Kalman filters and gray models 8,9 and genetic algorithms. 10 Although these methods can estimate wind speed with high accuracy, the methods are complicated, costly, and not easy to implement.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A novel nonlinear observer‐based LQ control system design for wind energy conversion systems with single measurement

Duc

2019

Wind Energy

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The issue of tracking the optimal power for wind energy conversion systems (WECSs) via regulating the rotor speed of the generator is taken into account in this study. Additionally, a novel polynomial observer is proposed for estimating not only aerodynamic torque in WECSs but also d‐axis and electromagnetic torque. Therefore, in this new approach, only the rotor speed of the generator is required to be measured instead of measuring all state variables. With the new observer form, the aerodynamic torque does not need to satisfy any constraints, which are mandatory in the previous methods. It should be noted that this methodology has not been investigated for the WECSs in any previous papers. To design a complete control system, a linear optimal control method cooperated with the polynomial observer is employed to track the optimal trajectory of a generator. Moreover, in this paper, the permanent magnet synchronous generator is used. In addition, on the basis of the Lyapunov theory and sum‐of‐square (SOS) technique, the conditions for observer synthesis are derived in the main theorems. Finally, the simulation results are provided to prove the effectiveness and merit of the proposed method.

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Section: System Description and Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A novel nonlinear observer‐based LQ control system design for wind energy conversion systems with single measurement

Duc

2019

Wind Energy

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Prescribed performance finite‐time control of wind energy conversion systems with input constraint and system uncertainty

Jing

Liu

Sun

et al. 2021

Int Trans Electr Energ Syst

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In this paper, the maximum wind power tracking control problem for the wind energy conversion system is considered and two effective algorithms are presented to solve it. The main contributions are as follows: (a) An improved prescribed performance control algorithm is proposed. By using a new performance function and a new error transformation scheme, the proposed controller can solve overshoot problems and guarantee tracking error to reach its stability region within finite time. (b) The nonsingular terminal sliding mode prescribed performance control algorithm is proposed. In order to solves finite time convergence and avoid the generation of singularity for wind energy conversion system, a finite-time stable controller is designed by combining the nonsingular terminal sliding mode technique and a finite-time prescribed performance function. Furthermore, a finite-time observer is used to estimate the system uncertainties. An auxiliary system is introduced to solve the problem of control input saturation. The stability of the system is proved

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High‐order observers‐based LQ control scheme for wind speed and uncertainties estimation in WECSs

Duc

2018

Optim Control Appl Methods

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Tip speed ratio control is a popular method in wind energy conversion systems in order to capture the maximum power. This method, however, requires wind speed information, which is difficult in practice to accurately measure it. Therefore, estimation methods are usually applied, where a high-precision estimate leads to a high-efficient system. Based on the fact that the wind speed varies in a random way, this paper proposes a generalized high-order observer to estimate the aerodynamic torque and the wind speed accordingly. This observer algorithm releases the assumption that the wind speed should be slowly varying, which is required in previous observer designs. Moreover, two other generalized high-order observers are also applied to estimate the uncertainties, which depend on state variables and cannot be considered as slow-varying disturbances. Using the outputs of these observers, a robust high-performance optimal control system is developed for the rotor speed to keep the optimal tip speed ratio. The stability analysis of the designed control system is fully presented. The effectiveness of the proposed technique is validated via simulation studies. KEYWORDSgeneralized high-order observer, optimal control, uncertainties, wind energy conversion system (WECS), wind speed estimation 1818

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Neuroadaptive Variable Speed Control of Wind Turbine With Wind Speed Estimation

Cited by 37 publications

References 25 publications

A novel nonlinear observer‐based LQ control system design for wind energy conversion systems with single measurement

A novel nonlinear observer‐based LQ control system design for wind energy conversion systems with single measurement

Prescribed performance finite‐time control of wind energy conversion systems with input constraint and system uncertainty

High‐order observers‐based LQ control scheme for wind speed and uncertainties estimation in WECSs

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