信息与控制2016，Vol.45Issue(5)：563-567,574,6.DOI:10.13976/j.cnki.xk.2016.0563
基于系统辨识算法的风力机桨距系统故障诊断
Fault Diagnosis for the Pitch System of Wind Turbines Using the System Identification Algorithm
摘要
Abstract
We propose a fault diagnosis method based on the observer-based multi-innovation stochastic gradient al-gorithm in consideration of the pitch system faults of wind turbines.The proposed algorithm can improve the parameter estimation accuracy by extending the innovation length.With regards the observer canonical state space systems model,the multi-innovation stochastic gradient algorithm combined with the state observer is a-ble to achieve the interactive estimation between the system states and the parameters.Here,the pitch system model is further transformed into the identification model by converting it into a canonical state space model. On the basis of the pitch system faults leading to the change of system parameters,the algorithm is adopted to estimate the systemstate and parameters.Then,the pitch system fault diagnosis problem is transformed into the parameter estimation issue.The simulation results demonstrate that the proposed method is capable of ef-fectively diagnosing the pitch system faults.关键词
风力机/桨距系统/故障诊断/多新息辨识/状态估计/参数估计Key words
wind turbine/pitch system/fault diagnosis/multi-innovation identification/state estimation/parameter estimation分类
信息技术与安全科学引用本文复制引用
吴定会,翟艳杰..基于系统辨识算法的风力机桨距系统故障诊断[J].信息与控制,2016,45(5):563-567,574,6.基金项目
江苏省“六大人才高峰”资助项目（WLW-008）；国家自然科学基金资助项目 （）
