摘要
针对风力发电机常见的速度传感器故障,建立了传动系统的降阶模型,研究了改进滑模观测器(SMO)的故障检测方法。采用饱和函数削弱抖振对滑模动态的影响,将发电机转速测量差值引入滑模输入信号的设计中,使滑模增益自动调节;同时,利用线性矩阵不等式(LMI)可行性问题设计反馈矩阵。通过对比观测器输出值计算残差估计值,结合最大似然比确定的阈值实现系统故障的有效检测。仿真结果表明所提出的方法能有效检测出风力发电机速度传感器故障。
To detect speed sensor faults in a wind turbine,this paper establishes a reduced order model of the drive system,and proposes an improved fault detection method with a sliding mode observer（SMO）.The SMO design takes advantages of saturation function to weaken the influence of chattering of sliding mode dynamic,and introduces wind rotor speed difference to realize automatic gain adjustment.Feedback matrix is designed based on the linear matrix inequality（LMI）feasibility problem.By comparing the output value of the observer and the estimated value,the threshold value of maximum likelihood ratio is determined to detect the system failure.Simulation results show that the proposed method can detect faults in a wind turbine speed sensor effectively.
出处
《上海电机学院学报》
2017年第1期16-21,共6页
Journal of Shanghai Dianji University
关键词
风力发电机
滑模观测器
饱和函数
线性矩阵不等式
极大似然比
故障检测
wind turbine
sliding mode observer（SMO）
saturation function
linear matrix inequality（LMI）
maximum likelihood ratio
fault detection
