Nonlinear Control of Variable Speed Wind Turbines without wind speed measurement

Boukhezzar, Boubekeur; Siguerdidjane, Houria

doi:10.1109/cdc.2005.1582697

Cited by 78 publications

(47 citation statements)

References 9 publications

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“…3 is mentioned and (Biachi et al, 2007) where the use of speed control for the generator is proposed, based on the knowledge of V and using a Linear Parameter Varying controller. Furthermore, (Boukhezzar & Siguerdidjane, 2005) proposes a combination of the aforementioned wind estimation method with a nonlinear controller (dynamic state feedback linearization) to control the speed of the generator. A shortcoming of the above techniques is that there are certain challenges regarding the use of a Kalman filter for T a estimation, since this has to be tuned appropriately (Bourlis & Bleijs, 2010a, 2010b.…”

Section: Control For Below Rated Operationmentioning

confidence: 99%

A Complete Control Scheme for Variable Speed Stall Regulated Wind Turbines

Bourlis¹

2011

Fundamental and Advanced Topics in Wind Power

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Section: Control For Below Rated Operationmentioning

confidence: 99%

A Complete Control Scheme for Variable Speed Stall Regulated Wind Turbines

Bourlis¹

2011

Fundamental and Advanced Topics in Wind Power

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“…The nonlinear and adaptive control were studied and applied to the variable pitch control for variable speed wind turbine [9]. Besides, the nonlinear control of variable speed wind turbines without wind speed measurement was discussed [10]. The digital motor, and the pitch controller designed by 2-DOF motion control, are investigated in this study.…”

Section: Introductionmentioning

confidence: 99%

A Novel Pitch Control System of a Large Wind Turbine Using Two-Degree-of-Freedom Motion Control with Feedback Linearization Control

Wang

Chiang

2016

Energies

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Pitch Control plays a significant role for a large wind turbine. This study investigates a novel robust hydraulic pitch control system of a large wind turbine. The novel hydraulic pitch control system is driven by a novel high efficiency and high response hydraulic servo system. The pitch controller, designed by two degree-of-freedom (2-DOF) motion control with feedback linearization, is developed to enhance the controllability and stability of the pitch control system. Furthermore, the full-scale testbed of the hydraulic pitch control system of a large wind turbine is developed for practically experimental verification. Besides, the wind turbine simulation software FAST is used to analyze the motion of the blade which results are given to the testbed as the disturbance load command. The 2-DOF pitch controller contains a feedforward controller with feedback linearization theory to overcome the nonlinearities of the system and a feedback controller to improve the system robustness for achieving the disturbance rejection. Consequently, the novel hydraulic pitch control system shows excellent path tracking performance in the experiments. Moreover, the robustness test with a simulated disturbance load generated by FAST is performed to validate the reliability of the proposed pitch control system.

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“…However, the use of these mechanical sensors increases the cost and failure rate of the WTG systems. According to [3], sensor failures contribute to more than 14% of failures in WTG systems and more than 40% of failures are related to the failure of sensors and the consequent failures of the control or electrical systems. Repairing the failed components requires additional cost and leads to a significant loss in electric power production.…”

Section: Introductionmentioning

confidence: 99%

“…In [2] and [3], the wind speed was estimated based on power signal feedback but the generator rotor position or speed was still measured for wind speed estimation and WTG control. The control systems in [4]- [6] used a hill-climbing search algorithm to track the maximum power point of the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Mechanical sensorless maximum power tracking control for direct-drive PMSG wind turbines

Gong

Wang

2010

2010 IEEE Energy Conversion Congress and Exposition

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-Wind turbine generators (WTGs) are usually equipped with mechanical sensors to measure wind speed and rotor position for system control, monitoring, and protection. The use of mechanical sensors increases the cost and hardware complexity and reduces the reliability of the WTG systems. This paper proposes a mechanical sensorless maximum power tracking control for wind turbines directly driving permanent magnetic synchronous generators (PMSGs). In the proposed algorithm, the PMSG rotor position is estimated from the measured stator voltages and currents by using a sliding mode observer (SMO). The wind turbine shaft speed is estimated from the PMSG back electromotive force (EMF) using a model adaptive reference system (MRAS) observer. A back propagation artificial neural network (BPANN) is designed to generate the optimal shaft speed reference in real time by using the estimated turbine shaft speed and the measured PMSG electrical power. A control system is developed for the PMSG wind turbine to continuously track the optimal shaft speed reference to generate the maximum electrical power without using any wind speed or rotor position sensors. The validity of the proposed control algorithm is shown by simulation studies on a 3-kW PMSG wind turbine and experimental results on a practical 300-W PMSG wind turbine.Index Terms-artificial neural network, model adaptive reference system (MRAS), permanent magnet synchronous generator (PMSG), sensorless control, sliding mode observer (SMO), wind turbine.

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Nonlinear Control of Variable Speed Wind Turbines without wind speed measurement

Cited by 78 publications

References 9 publications

A Complete Control Scheme for Variable Speed Stall Regulated Wind Turbines

A Complete Control Scheme for Variable Speed Stall Regulated Wind Turbines

A Novel Pitch Control System of a Large Wind Turbine Using Two-Degree-of-Freedom Motion Control with Feedback Linearization Control

Mechanical sensorless maximum power tracking control for direct-drive PMSG wind turbines

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