Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault tolerant control

doi:10.1007/s11465-017-0431-4

Front. Mech. Eng.

2017, Vol. 12

Issue (3) : 377-388 https://doi.org/10.1007/s11465-017-0431-4

RESEARCH ARTICLE

Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault tolerant control

Hamed HABIBI(

), Hamed RAHIMI NOHOOJI, Ian HOWARD

Faculty of Science and Engineering, School of Civil and Mechanical Engineering, Curtin University, Perth, Australia

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Abstract

Power maximization has always been a practical consideration in wind turbines. The question of how to address optimal power capture, especially when the system dynamics are nonlinear and the actuators are subject to unknown faults, is significant. This paper studies the control methodology for variable-speed variable-pitch wind turbines including the effects of uncertain nonlinear dynamics, system fault uncertainties, and unknown external disturbances. The nonlinear model of the wind turbine is presented, and the problem of maximizing extracted energy is formulated by designing the optimal desired states. With the known system, a model-based nonlinear controller is designed; then, to handle uncertainties, the unknown nonlinearities of the wind turbine are estimated by utilizing radial basis function neural networks. The adaptive neural fault tolerant control is designed passively to be robust on model uncertainties, disturbances including wind speed and model noises, and completely unknown actuator faults including generator torque and pitch actuator torque. The Lyapunov direct method is employed to prove that the closed-loop system is uniformly bounded. Simulation studies are performed to verify the effectiveness of the proposed method.

Keywords wind turbine nonlinear model maximum power tracking passive fault tolerant control adaptive neural control

Corresponding Author(s): Hamed HABIBI

Just Accepted Date: 28 March 2017 Online First Date: 17 April 2017 Issue Date: 04 August 2017

Cite this article:

Hamed HABIBI,Hamed RAHIMI NOHOOJI,Ian HOWARD. Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault tolerant control[J]. Front. Mech. Eng., 2017, 12(3): 377-388.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-017-0431-4
https://academic.hep.com.cn/fme/EN/Y2017/V12/I3/377

Fig.1 Ideal power curve [13]

Fig.2 Power coefficient surface [13]

Fig.3 Drivetrain rotational model

Fig.4 Wind turbine model at system level

Parameter	Value
H, kg·m²	$[5005]$
R, m	2
A, m²	12.6
$ρ$ , kg/m³	1.2

Tab.1 Wind turbine model values [17]

Fig.5 Wind speed profile

Fig.6 Rotor speed using proposed controller

Fig.7 Pitch angle of wind turbine

Fig.8 Power coefficient of wind turbine

Fig.9 Total generator actuator torque

Fig.10 Total pitch actuator torque

Fig.11 Applied generator torque due to fault in generator actuator and disturbance

Fig.12 Applied pitch torque due to fault in pitch actuator and disturbance

Fig.13 Real wind speed profile

Fig.14 Rotor speed using proposed controller for real wind speed profile

Fig.15 Power coefficient of wind turbine for real wind speed profile.

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