Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

Ali, Muhammad Arif Sharafat; Mehmood, Khawaja Khalid; Baloch, Shazia; Kim, Chul‐Hwan

doi:10.1109/access.2020.2971721

Cited by 21 publications

(12 citation statements)

References 34 publications

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“…A commonly adopted solution for the FOC is based on the use of proportional-integral (PI) controllers for speed and current regulation. This solution is simple and robust, and its effectiveness for the control of WECS with a PMSG and a three-phase full-bridge PWM rectifier MSC has already been demonstrated [24,29,40]. The speed controller is a PI regulator with feedforward for the aerodynamic torque disturbance rejection, while the current controllers are simple PI regulators.…”

Section: Variable Structure Controllermentioning

confidence: 99%

“…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 [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. These model-based methods can be imprecise because of estimation errors of the aerodynamic torque, aerodynamic power, and shaft speed, and because of uncertainties in the wind turbine model.…”

Section: Wind Speed Estimationmentioning

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: Variable Structure Controllermentioning

confidence: 99%

Section: Wind Speed Estimationmentioning

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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“…The Permanent Magnet Synchronous Generator (PMSG) is a suitable type for variable-speed generating system [5], [6]. It is directly connected to the turbine without any requirement of an additional gearbox [7], [8] and has several advantages like higher efficiency [9], [10], lighter rotor weight and no external excitation [11], [12]. Being a direct drive, it generates a voltage at variable wind speed and thereby, maintaining a high power factor [13].…”

Section: List Of Symbolsmentioning

confidence: 99%

Modeling of Airgap Fluxes and Performance Analysis of Five Phase Permanent Magnet Synchronous Generator for Wind Power Application

et al. 2020

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This paper proposes an Improved Magnetic Circuit (IMC) model for the optimal design and characteristics evaluation of the Five-Phase Permanent Magnet Synchronous Generator (FP-PMSG) for wind power application. Along with the Finite Element Method (FEM), the IMC model is also preferred for its faster result generation capabilities. The proposed model is used for optimal designing and performance evaluation of FP-PMSG by considering parameters such as leakage fluxes, properties of core material for rotor and stator, properties of rotor permanent magnet sleeve material, effect of saturation and armature reaction. To compute the armature reaction flux, the winding function approach has been opted. Furthermore, extensive analysis is done with respect to different sleeve and core materials along with improvising various dimensional parameters like magnet height, Magnet to Magnet (M-M) gap and sleeve length for high quality performance of FP-PMSG. To validate the results obtained from IMC model and FEM, an experimental prototype is developed and the electromagnetic performances such as generated voltage, Percentage Total Harmonic Distortion (THD) of generated voltage, terminal voltage vs load current, generated Electromotive Force (EMF) vs speed, rectified Direct Current (DC) Voltage vs DC current, output DC Power vs load resistance and percentage (%) efficiency vs current are evaluated. Through fabrication of the prototype of FP-PMSG in the laboratory, a substantial amount of engineering values have been acquired.

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“…The integration of a battery energy storage system has been proposed in [16] for a doubly-fed induction generator-based wind energy conversion unit. In [17], sliding mode control based on a linear matrix inequality has been introduced to estimate the rotor position of the WECS generator that enhances system reliability.…”

Section: Introductionmentioning

confidence: 99%

Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations

et al. 2021

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Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient measuring devices and the environmental impacts (e.g. temperature, humidity, and noise signals) affect the system equipment, leading to increased system uncertainty issues. In addition, the time delay due to the communication channels can make a gap between the transmitted control signal and the WECS that causes instability for the WECS operation. To tackle these issues, this paper proposes an adaptive neuro-fuzzy inference system (ANFIS) as an effective control technique for blade pitch control of the WECS instead of the conventional controllers. However, the ANFIS requires a suitable dataset for training and testing to adjust its membership functions in order to provide effective performance. In this regard, this paper also suggests an effective strategy to prepare a sufficient dataset for training and testing of the ANFIS controller. Specifically, a new optimization algorithm named the mayfly optimization algorithm (MOA) is developed to find the optimal parameters of the proportional integral derivative (PID) controller to find the optimal dataset for training and testing of the ANFIS controller. To demonstrate the advantages of the proposed technique, it is compared with different three algorithms in the literature. Another contribution is that a new time-domain named figure of demerit is established to confirm the minimization of settling time and the maximum overshoot in a simultaneous manner. A lot of test scenarios are performed to confirm the effectiveness and robustness of the proposed ANFIS based technique. The robustness of the proposed method is verified based on the frequency domain conditions that are driven from Hermite-Biehler theorem. The results emphases that the proposed controller provides superior performance against the wind speed fluctuations, load demand variations, system parameters uncertainties, and the time delay of the communication channels.

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Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

Cited by 21 publications

References 34 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

Modeling of Airgap Fluxes and Performance Analysis of Five Phase Permanent Magnet Synchronous Generator for Wind Power Application

Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations

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