| 引用本文: | 田猛,张波文,周腊吾,杨宏智,龙燕.基于RBF神经网络滑模变结构独立变桨控制研究[J].电力系统保护与控制,2019,47(4):107-114.[点击复制] |
| TIAN Meng,ZHANG Bowen,ZHOU Lawu,YANG Hongzhi,LONG Yan.Study of individual variable pitch control based on RBF neural networks-sliding mode control[J].Power System Protection and Control,2019,47(4):107-114[点击复制] |
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| 摘要: |
| 为降低大型风电机组由风剪切、风切变和塔影效应在叶片上产生的不平衡载荷，根据风力机气动力学、风剪切、风切变和塔影效应，提出一种基于RBF神经网络滑膜变结构独立变桨控制策略。滑模变结构控制抗干扰强、鲁棒性强和响应速度快，缺点是滑模变结构控制易产生抖动。利用RBF神经网络的在线学习能力，实时调整滑膜变结构控制器增益，使滑模函数趋于切换面，有效降低滑模变结构控制的抖动，提高独立变桨控制系统的动态性能。利用Matlab/Simulink和GH-blade软件搭建了5 MW风电机组的联合仿真模型。仿真实验表明采用所提出的独立变桨控制方案能有效降低桨叶根部不平衡载荷，还能提高风电机组运行在额定风速以下的功率性能。通过试验平台的测试，也验证了所提出的独立变桨控制策略的合理性。 |
| 关键词: 风电机组 不平衡载荷 滑膜变结构控制 鲁棒性 |
| DOI：10.7667/PSPC180298 |
| 投稿时间：2018-03-20修订日期：2018-05-22 |
| 基金项目:国家国际科技合作专项资助(2011DFA62890) |
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| Study of individual variable pitch control based on RBF neural networks-sliding mode control |
| TIAN Meng,ZHANG Bowen,ZHOU Lawu,YANG Hongzhi,LONG Yan |
| (Tongren Power Supply Bureau, Guizhou Power Grid Company, Tongren 554300, China;Changsha University of Science and Technology, Changsha 410114, China) |
| Abstract: |
| In order to reduce the unbalanced load of large wind turbines produced by the blade of wind shear and tower shadow effects, according to the wind turbine gas dynamics, wind shear and tower shadow effects, this paper proposes an independent variable pitch control strategy based on RBF neural network sliding mode. The ability of sliding mode to control of anti-interference and robustness is strong and it has quick response speed, the disadvantage is that the control of sliding mode jitters easily. By the online learning ability of RBF neural network, it adjusts the gaining of sliding mode controller in real time, leading the synovial function on switching surface, reducing the jitter of the sliding mode control effectively, and improving the dynamic performance of independent variable propeller control system. A joint simulation mode joint for 5 MW wind turbine blade is set up by Matlab/Simulink and GH-blade software. Simulation results show that the independent variable pitch control scheme can effectively reduce the unbalanced load in blade root and improve the power of wind turbines run below the rated wind speed in performance. Through the test platform, it also verifies the rationality of the independent variable pitch control strategy proposed in this paper. This work is supported by International S & T Cooperation Program of China (No. 2011DFA62890). |
| Key words: wind turbines unbalanced load sliding mode control robustness |
