摘要
海上漂浮式风力机是一个复杂的刚-柔耦合非线性系统,难以建立其精确的动力学模型,无法利用常规控制方式提高风力机的抗风浪干扰能力。为解决此问题,采用自适应模糊控制器(AFC)抑制漂浮式风力机的动力响应。引入2个修正因子对模糊规则进行优选,得到了传统模糊控制器(FC);为应对漂浮式风力机工作过程中平衡位置变化和结构参数摄动情况,在FC基础上增加了自适应模块,设计了一种AFC,并对其有效性进行了验证;在随机风浪扰动和叶片桨距控制系统耦合作用下,研究了不同控制策略对海上漂浮式风力机振动响应的抑制效果。仿真结果表明,目标值改变时,AFC对目标值的跟踪能力明显优于FC;随机风浪扰动作用下,相对于被动控制策略,AFC对平台俯仰(PFPI)运动功率谱密度(PSD)峰值的抑制效果可提高39%。
Floating offshore wind turbine is a complex rigid-flexible coupling nonlinear system, and the accurate dynamic model is difficultly established. Therefore, the wind-wave interference cannot be improved by adopting the conventional control strategy. In order to solve this problem, an adaptive fuzzy controller (AFC) is used to suppress the dynamic response of floating wind turbine. Two correction factors are introduced to optimize the fuzzy rule, and the traditional fuzzy controller (FC) is firstly obtained. Since the balance positions change and structural parameter perturbation of the wind turbine, an AFC is designed and validated. Finally, the suppression vibration responses ability of floating offshore wind turbine by using the different control strategies is studied under the random wind-wave disturbance and blade pitch control system coupling effect. The simulation results show that the tracking ability of the AFC to the target value is obviously higher than that of the FC;Comparing with the passive control strategy, the suppression vibration effect on the power spectral density (PSD) of the platform pitch (PFPI) motion peak can increase by 39.06% by adopting the AFC.
作者
杨佳佳
贺尔铭
舒俊成
YANG Jiajia;HE Erming;SHU Juncheng(School of Aeronautics, Northwestern Polytechnical University, Xi′an 710072, China)
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2021年第2期241-248,共8页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(51675426)资助。
关键词
海上漂浮式风力机
振动抑制
修正因子
模糊规则
自适应模糊控制
floating offshore wind turbine
vibration suppression
correction factor
fuzzy rule
adaptive fuzzy control
