Fuzzy logic direct torque/power control for a self-excited induction generator driven by a variable wind speed turbine

Dagang, Clotaire Thierry Sanjong; Kenné, Godpromesse; Muluh, Fombu Andrew

doi:10.1007/s40435-020-00709-9

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…No matter how the rotor speed or load change. Two alternative types of fuzzy logic (FL) [44] voltage controllers are presented and examined to accomplish this. By contrasting the created FL voltage controllers' performance with that of the optimally tuned traditional PI controller, their effectiveness is assessed.…”

Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Saleh,

Diab,

El-Gaafary

et al. 2023

IJRCS

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The current study aims to present a comprehensive analysis of a control technique used for improving the dynamic performance of a grid connected self-excited induction generator (SEIG). All components in the control system are modelled and explained in details. The management of SEIG operation is achieved through controlling the machine side converter using a new formulated predictive voltage control scheme (PVC). The proposed (PVC) is compared to field oriented control (FOC), model predictive current control (MPCC) and model predictive direct torque control (MPDTC) systems. MPDTC and MPCC have several drawbacks like high ripple, high load commutation, and using a weighting factor in their cost function, While FOC systems depend on machine parameters for variable estimation factors, need to use PI regulators and co-ordinate transformations, which complicate the system and slow down the dynamic response. The results obtained indicate that the proposed PVC is effective, as the ripples are reduced by 43% when compared to the MPDTC-used one and by 30% when compared to MPCC. Additionally, PVC's time response is less than that of the FOC by 15%, MPCC by 9%, and MPDTC by 4%. Furthermore, PVC produces 38% fewer commutations than MPCC and 40% fewer commutations than MPDTC. Consequently, the generator's efficiency and dependability both increased as a result of its better performance.

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Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Saleh,

Diab,

El-Gaafary

et al. 2023

IJRCS

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show abstract

“…The grid-side controller was designed based on a sliding mode control strategy. Dagang et al [24] introduced the fuzzy-based controlling architecture for the converters on the grid side. In that suggested model, the direct fuzzy control laws were updated to extract maximum power from the system.…”

Section: Related Workmentioning

confidence: 99%

Control of self-excited induction generator based wind turbine using current and voltage control approaches

Ratheesh,

Vins

2023

QJES

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The self-excited induction generator (SEIG) is widely applied in the wind energy conversion system (WECS) to enhance power generation. The power generation from WECS is varied in terms of varying wind speed. Hence, to improve the working of SEIG-based WECS, the multi-stage coati optimized proportional integral (CPI) fractional order proportional integral derivative (FOPID) controller is proposed in this work. The proposed coati optimized proportional integral - fractional order proportional integral derivative controls the SEIG’s grid side converter and generator side converter. The coati optimization algorithm optimizes the controller parameters of a proposed multi-state controller. The proposed CPI-FOPID controls both the voltage at the grid side converter and the current at a generator side converter. Moreover, the pitch angle of the wind turbine (WT) is controlled by the fuzzy-based tilt integral derivative (F-TID) controller. The proposed work will be implemented on the Matlab/Simulink platform, and the THD of 0.63% has proven the efficacy of the proposed methodology.

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Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

Benmahdjoub

Mezouar

Ibrahim

et al. 2023

Int. J. Dynam. Control

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The present paper aims to improve the effectiveness of an isolated water pumping system based on parallel wind turbine powertrains by using a nonlinear Integral Backstepping Controller (IBSC). In fact, the powertrain system with parallel Permanent Magnet Synchronous Generators (PMSG) is used to ensure the continuity of the power conversion system and to optimize the efficiency of generators. A three-phase PWM rectifier is implemented in the power system to convert the AC voltage obtained from parallel PMSG generators to a DC voltage. In fact, the regulated DC voltage will be supplied to a DC motor-driven water pump to control the tank level in the wind turbine pumping system. In this paper, the effective wind speed of a wind turbine is estimated by using an Extended Kalman Filter (EKF) instead of using anemometers. In addition, the Tip Tip Speed Ratio (TSR) method based on an Adaptive Fuzzy Logic Controller (AFLC) is performed to apply the Maximum Power Point Tracking (MPPT) algorithm for maximum power extraction from the available energy in the wind. Moreover, the Voltage Oriented Control (VOC) strategy is handled to control the currents of the three-phase rectifier. To evaluate the efficiency of the EKF estimator, the covariance and correlation coefficient between the estimated and measured wind speed are computed for each s 1 , while the AFLC and nonlinear IBSC controllers are evaluated by comparing their results with those obtained by the PI controller. For the wind speed estimation, the covariance and correlation coefficient results demonstrate that the EKF estimator has high accuracy with a 98% similarity between the estimated and measured wind speed. For the power extraction, the TSR based on adaptive FLC controller can extract slightly more wind energy than the PI controller. For tank level control, the nonlinear IBSC controller improves the efficiency of the wind turbine water pumping system by reducing the DC voltage surge and the overshoot of water level obtained by PI controller.

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Fuzzy logic direct torque/power control for a self-excited induction generator driven by a variable wind speed turbine

Cited by 6 publications

References 15 publications

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Control of self-excited induction generator based wind turbine using current and voltage control approaches

Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

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