| 引用本文: | 刘军,张泽秋,甘乾煜,胡朝阳.基于随机干扰校正的风力机独立变桨优化控制[J].控制理论与应用,2025,42(3):635~641.[点击复制] |
| LIU Jun,ZHANG Ze-qiu,GAN Qian-yu,HU Zhao-yang.Stochastic disturbance accommodating for wind turbines independent pitch optimization control[J].Control Theory and Technology,2025,42(3):635~641.[点击复制] |
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| 基于随机干扰校正的风力机独立变桨优化控制 |
| Stochastic disturbance accommodating for wind turbines independent pitch optimization control |
| 摘要点击 28 全文点击 2 投稿时间：2022-10-07 修订日期：2025-03-01 |
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| DOI编号 10.7641/CTA.2023.20870 |
| 2025,42(3):635-641 |
| 中文关键词 风力机 载荷优化 独立变桨 卡尔曼滤波 不确定性 |
| 英文关键词 wind turbines load limits individual pitch control Kalman filtering uncertainty |
| 基金项目 陕西省重点研发计划项目(2021GY?06), 西安市攻关项目(5025)资助. |
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| 中文摘要 |
| 在设计风力机多目标独立变桨控制器时,通常忽略了未建模动力学和系统模型参数的不确定性,这些不确定性会降低控制性能甚至导致系统不稳定.针对该问题,本文提出了基于随机干扰校正控制的风力机独立变桨优化控制策略,利用卡尔曼滤波器来观测标称控制输入的修正部分,从而最小化模型不确定性和外部风速干扰对于系统控制性能的影响.基于OpenFAST-MATLAB对NREL 5MW风力机仿真,结果表明与变增益PI控制和干扰校正控制相比,本文提出的控制策略能够保证高风速区域下风电机组输出功率平稳,同时还进一步降低了叶片和塔架的载荷,延长了风力机的使用寿命. |
| 英文摘要 |
| In the design of multi-objective independent pitch controllers for wind turbines, uncertainties in unmodeled dynamics and system model parameters are usually ignored. When only nominal control inputs are used, these uncertainties can degrade control performance and cause a system of instability. Aiming at this problem, this paper presents the stochastic disturbance accommodating control theory, and proposes to use the Kalman filter to observe the correction part of the nominal control input, to minimize the adverse effects of model uncertainty and external wind speed disturbance on the system control performance. The co-simulation of OpenFAST’s 5MW wind turbine model and MATLAB shows that compared with gain scheduling PI control and disturbance accommodating control, this control method can ensure the stable power output in the high wind speed area, and further reduce the wind turbine blades and tower load. It is meant to extend the service life of wind turbines. |
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