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Contribution to adaptative sliding mode, fault tolerant control and control allocation of wind turbine system

Xinyi Liu 1
1 OPERA - OPERA (OPtimisation Et RéseAux)
UTBM - Université de Technologie de Belfort-Montbeliard
Abstract : The main challenges for the deployment of wind energy conversion systems (WECS) are to maximize the amount of good quality electrical power extracted from wind energy over a significantly wide range of weather conditions and minimize both manufacturing and maintenance costs. Wind turbine's efficiency is highly dependent on environmental disturbances and varying parameters for operating conditions, such as wind speed, pitch angle, tip-speed ratio, sensitive resistor and inductance. Uncertainties on the system are hard to model exactly while it affects the stability of the system. In order to ensure an optimal operating condition, with unknown perturbations, adaptive control can play an important role. On the other hand, a Fault Tolerant Control (FTC) with control allocation that is able to maintain the WECS connected after the occurrence of certain faults can avoid major economic losses. The thesis work concerns the establishment of an adaptive control and fault diagnosis and tolerant control of WECS. After a literature review, the contributions of the thesis are:In the first part of the thesis, a nonlinear uncertain model of the wind energy conversion system with a doubly fed induction generator (DFIG) is proposed. A novel Lyapunov-based adaptive Sliding Mode (HOSM) controller is designed to optimize the generated power.In the second part, a new output integral sliding mode methodology for fault tolerant control with control allocation of linear time varying systems is presented. Then, this methodology has been applied in order to force the wind turbine speed to its optimal value the presence of faults in the actuator.
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Submitted on : Tuesday, September 11, 2018 - 5:55:08 PM
Last modification on : Tuesday, October 1, 2019 - 4:26:06 PM
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  • HAL Id : tel-01872262, version 1



Xinyi Liu. Contribution to adaptative sliding mode, fault tolerant control and control allocation of wind turbine system. Electric power. Université de Technologie de Belfort-Montbeliard, 2016. English. ⟨NNT : 2016BELF0295⟩. ⟨tel-01872262⟩



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