基于变论域模糊控制的风机叶片颤振抑制
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TK 83

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国家自然科学基金(51675315) 基于弦向分段襟摆的大型风力机叶片失速非线性颤振机理及抑制


Flutter suppression of wind turbine blade based on variable universe fuzzy control
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Stall nonlinear flutter mechanism and suppression of large-scale wind turbine blade based on chordwise and segmental trailing-edge flaps

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    摘要:

    针对时变、滞后、非线性的风力机叶片系统,基于变论域思想,设计出一种变论域最优模糊比例积分微分(proportion intergration differentiation,PID)控制器,解决叶片经典颤振断裂失效问题。叶片结构模型采用基于弹簧-质量-阻尼器的典型截面模型,结合经典颤振稳态气动力模型,得到叶片气动弹性方程。通过变论域最优模糊PID控制器给出变桨信号,同时二阶变桨激励器执行变桨动作,进行颤振抑制。根据时间乘绝对误差积分准则(ITAE)准则,通过寻优得到PID最优初始值。仿真结果表示,与增量式模糊PID相比,变论域最优模糊PID控制器可动态调整论域范围,收敛时间快、幅值更低且具有良好的通用性。

    Abstract:

    In order to solve the classic flutter failure problem of wind turbine blades, an optimal fuzzy PID controller was designed based on the idea of variable universe. Wind turbine blade system has the characteristics of time - varying, hysteresis and nonlinear. The blade structure model was based on the typical section model of spring-mass-damper equivalent and aerodynamic expression was based on the classical flutter steady-state model to obtain the blade aeroelastic equation. The variable pitch signal was given by the optimal fuzzy PID controller in the variable universe. To suppress the flutter, the pitch action was performed by a second-order paddle change actuator. According to ITAE criterion, the initial PID value was optimized. The simulation results show that compared with incremental fuzzy PID controller, the optimal fuzzy PID controller in the variable universe can dynamically adjust the scope of the universe, as well as has faster convergence time, lower amplitude and batter generality.

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王迎博,易成宏,孙海鹏,等. 基于变论域模糊控制的风机叶片颤振抑制[J]. 科学技术与工程, 2021, 21(22): 9365-9371.
Wang Yingbo, Yi Chenghong, Sun Haipeng, et al. Flutter suppression of wind turbine blade based on variable universe fuzzy control[J]. Science Technology and Engineering,2021,21(22):9365-9371.

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  • 收稿日期:2020-12-22
  • 最后修改日期:2021-06-16
  • 录用日期:2021-04-09
  • 在线发布日期: 2021-08-29
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