An Efficient Wind Speed Computation Method Using Sliding Mode Observers in Wind Energy Conversion System Control Applications

Hussain, Jakeer; Mishra, Mahesh K.

doi:10.1109/tia.2019.2942018

Cited by 48 publications

(24 citation statements)

References 21 publications

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“…For a WECS with a diode rectifier and boost converter, the proposed solution is based on tracking the optimal boost converter voltage on the rectifier side using only voltage and current sensors [11,14,33,34]. Others are based on the use of observers and estimators of shaft ( [17,29,42,43]), wind speed ( [26,29,32,40,41,44]), and aerodynamic torque ( [9,14,17,[23][24][25][26][27]). A robust and parameter-independent approach is based on the perturb and observe (P&O) concept that is widely treated in the literature in its many variants [10,[13][14][15][16]18,28,[45][46][47].…”

Section: Variable Structure Controllermentioning

confidence: 99%

“…In the literature, different approaches have been proposed for wind speed estimation. In [32,41], the method used is based on calculating the wind speed using the inverse model of the wind turbine, and the estimation of the aerodynamic torque and shaft speed. A similar approach was used in [40], wherein the estimated aerodynamic power was used instead of the aerodynamic torque.…”

Section: Wind Speed Estimationmentioning

confidence: 99%

“…The model-based approach used in [32,41] makes use of the inverse model of the wind turbine. By using (3) and (5) is possible to highlight a relationship between, T a , ω m and λ:…”

Section: Model-based Wsementioning

confidence: 99%

“…Such wind speed patterns allow for analysis of the dynamic performances of the proposed control strategies. However, the use of wind speed patterns with multiple steps ( [11,13,[15][16][17][30][31][32]) and single steps or constant speeds ( [10,[33][34][35]) allows for analysis of the effectiveness of the control scheme in specific wind speed subregions. In this study, a ramp wind pattern was chosen to show the fitting of the actual aerodynamic power and torque with the ideal regulation characteristics over the entire wind speed range.…”

Section: Introductionmentioning

confidence: 99%

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Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer

et al. 2020

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This paper proposes a new variable structure control scheme for a variable-speed, fixed-pitch ducted wind turbine, equipped with an annular, brushless permanent-magnet synchronous generator, considering a back-to-back power converter topology. The purpose of this control scheme is to maximise the aerodynamic power over the entire wind speed range, considering the mechanical safety limits of the ducted wind turbine. The ideal power characteristics are achieved with the design of control laws aimed at performing the maximum power point tracking control in the low wind speeds region, and the constant speed, power, and torque control in the high wind speed region. The designed control laws utilize a Luenberger observer for the estimation of the aerodynamic torque and a shallow neural network for wind speed estimation. The effectiveness of the proposed method was verified through tests in a laboratory setup. Moreover, a comparison with other solutions from the literature allowed us to better evaluate the performances achieved and to highlight the originality of the proposed control scheme.

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Section: Variable Structure Controllermentioning

confidence: 99%

Section: Wind Speed Estimationmentioning

confidence: 99%

“…The model-based approach used in [32,41] makes use of the inverse model of the wind turbine. By using (3) and (5) is possible to highlight a relationship between, T a , ω m and λ:…”

Section: Model-based Wsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer

et al. 2020

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“…Predictive control algorithms are useful in steady-state operation [22], but during the transient changes, it exhibits an inadequate response due to mismatch of memorized data [23]. Sliding mode observer for measuring rotor speed and torque of PMSG is reported in [24], even though it avoids mechanical sensors, the complexity of such controllers is comparatively higher than that of intelligent control algorithms such as neural network, fuzzy logic, wavelet controllers etc. Chattering problem of sliding mode observer also reduces the reliability of the system.…”

Section: Introductionmentioning

confidence: 99%

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

et al. 2020

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In this work, a new control methodology is proposed for Type-IV wind energy conversion system (WECS) using a self-recurrent wavelet neural network (SRWNN) control with a Vienna rectifier as the machine side converter (MSC). A SRWNN combines excellent dynamic properties of recurrent neural networks and the fast convergence speed of wavelet neural network. Hidden neurons of SRWNN contains local self-feedback loops, which provide the memory feature and the necessary information of past values of the signals, allowing it to track maximum power from WECS under varying wind speeds. The Vienna rectifier allows unity power factor operation to increase electrical efficiency. Frame angle-controlled wavelet modulation is proposed for the grid side converter (GSC). Wavelet modulated inverter produces output voltage fundamental components with higher magnitudes than those obtained from the pulse width modulated inverters. The non-linear load compensation and power quality enhancement are achieved by executing frame angle control for WM inverter. The overall system is modeled, and performance is verified in MATLAB Simulink. The hardware prototype is developed, and the switching pulses for the rectifier and inverter are generated using dSPACE1104 controller. The results prove that the system provides low harmonic content and high magnitude of the fundamental current component at the machine and grid sides and ensures maximum power operation at various wind speeds. INDEX TERMS Wind Energy Conversion System (WECS), Wavelet modulation (WM), Maximum power point tracking (MPPT), Self recurrent wavelet neural network (SRWNN)

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A New Robust Adaptive Control for Variable Speed Wind Turbine

Bouassi

Chalh

Mellouli

2023

Artificial Intelligence and Smart Environment

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An Efficient Wind Speed Computation Method Using Sliding Mode Observers in Wind Energy Conversion System Control Applications

Cited by 48 publications

References 21 publications

Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer

Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

A New Robust Adaptive Control for Variable Speed Wind Turbine

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