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作 者:张艳峰 杨锡运[1] 徐恩慧 Zhang Yanfeng;Yang Xiyun;Xu Enhui(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;CPI Northeast New Energy Development Company,Shenyang 110181,China)
机构地区:[1]华北电力大学控制与计算机工程学院,北京102206 [2]中电投东北新能源公司,沈阳110181
出 处:《太阳能学报》2024年第10期467-477,共11页Acta Energiae Solaris Sinica
基 金:北京市自然科学基金(3202028)。
摘 要:漂浮平台运动和海上恶劣条件使得漂浮式海上风电机组(FOWT)建模难度大且故障率较高,为此,提出一种无需对FOWT进行数学建模的无模型自适应主动容错控制策略。该策略主要包括故障智能诊断和故障自适应补偿系统:故障智能诊断系统利用卷积神经网络模型对时序信号进行空间特征挖掘完成故障智能诊断;故障补偿系统采用无模型自适应控制策略实现,将动态补偿过程转化为非线性系统实时控制问题,通过实时求解补偿因子来应对和恢复多种故障,有效降低了控制器开发成本且避免了建模产生的误差。在多种故障场景下进行仿真实验,结果验证了提出控制策略的容错能力,不仅可使叶轮载荷保持平衡,且可降低塔筒载荷。To address the challenges posed by the complex modeling and high failure rates caused by the motion of floating platforms and harsh offshore conditions in floating offshore wind turbines(FOWT),a model-free adaptive active fault-tolerant control strategy is proposed,eliminating the need for mathematical modeling of FOWT.The strategy consists of a fault intelligent diagnosis system and a fault adaptive compensation system.The fault intelligent diagnosis system employs a convolutional neural network model to extract spatial features from time-series signals,completing intelligent fault diagnosis.The fault compensation system utilizes a model-free adaptive control strategy,converting the dynamic compensation process into a real-time control problem of a nonlinear system.It achieves this by solving compensation factors in real-time to handle and recover from various faults.This approach effectively reduces controller development costs and avoids modeling errors.Simulation experiments are conducted under multiple fault scenarios,validating the fault-tolerant capability of the proposed control strategy.It not only maintains a balanced load on the rotor blades but also reduces tower loads.
关 键 词:海上风电 风电机组 独立变桨控制 容错控制 无模型自适应控制
分 类 号:TM614[电气工程—电力系统及自动化]
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