Support vector machine-based active fault-tolerant control for wind turbine

被引：0

作者：

El Bakri, Ayoub ^{[1
]}

Boumhidi, Jaouad ^{[2
]}

Boumhidi, Ismail ^{[1
]}

机构：

[1] Univ Sidi Mohammed ben Abdellah, Dept Phys, LESSI Lab, Fac Sci Dhar Mehraz, BP 1796, Fez Atlas 30003, Morocco

[2] Univ Sidi Mohamed Ben Abdellah, Fac Sci Dhar El Mahraz, LIIAN Lab, Box 30003, Fes, Morocco

来源：

2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019) | 2019年

关键词：

Fault estimation; fault tolerant control; support vector machine; Unknown input observer; wind turbine; PITCH CONTROL; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an active fault-tolerant control method (FTC) for compensating pitch actuator faults in the hydraulic pitch system of variable speed wind turbine (WT). The proposed control strategy incorporates an unknown input observer (UIO) to estimate the state of the hydraulic pitch system, a support vector machine (SVM) based fault estimation block to provide active information on the state of the actuator fault, and an SVM-based reconfigurable controller to compensate for pitch actuator faults in order to recover the pitch dynamics. the effectiveness of the considered methods is validated using 4.8MW wind turbine.

引用

页数：5

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