引用本文:卢经纬,张 臻,梁宇坤,张文广.具有尾缘襟翼风力机的恒功率反步法控制[J].控制理论与应用,2017,34(1):61~68.[点击复制]
LU Jing-wei,ZHANG Zhen,LIANG Yu-kun,ZHANG Wen-guang.Backstepping control of constant power for wind turbines with trailing edge flaps[J].Control Theory and Technology,2017,34(1):61~68.[点击复制]
具有尾缘襟翼风力机的恒功率反步法控制
Backstepping control of constant power for wind turbines with trailing edge flaps
摘要点击 2785  全文点击 2112  投稿时间:2016-04-25  修订日期:2016-12-22
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DOI编号  10.7641/CTA.2017.60254
  2017,34(1):61-68
中文关键词  反步法  非线性系统  风力机  尾缘襟翼  恒功率
英文关键词  backstepping  nonlinear systems  wind turbines  trailing edge flaps  constant power
基金项目  国家自然科学基金重点项目(61433011), 国家自然科学基金项目(51575544), 新能源电力系统国家重点实验室开放课题(LAPS13019)资助.
作者单位E-mail
卢经纬 北京航空航天大学自动化科学与电气工程学院 lujingwei@buaa.edu.cn 
张 臻* 北京航空航天大学自动化科学与电气工程学院 zhangzhen@buaa.edu.cn 
梁宇坤 北京宇航系统工程研究所  
张文广 华北电力大学新能源电力系统国家重点实验室  
中文摘要
      尾缘襟翼风力机控制技术在大型风力机领域具有巨大的应用潜力. 本文首先基于修正的叶素动量方法建 立了具有可变尾缘襟翼的风力机气动模型. 针对襟翼风力机的非线性模型, 采用反步法设计了非线性控制器, 保证 系统的控制量和状态变量全局有界, 并且风机的输出功率可以收敛到额定功率的一个小邻域内. 此外, 控制器设计 过程中没有将实时风速信息纳入反馈系统, 因而降低了工程实施的难度. 最后针对12 m/s15 m/s的阶跃风、基于四 分量模型模拟的风载扰动、执行机构受到外部扰动以及总转动惯量具有10%不确定性的工况进行了仿真, 仿真结果 表明所设计的控制器能有效地稳定风力发电系统的输出功率, 控制系统具有较强的鲁棒性.
英文摘要
      Control technology of wind turbines with trailing edge flaps (TEF) has great potential in large wind turbine system. The aerodynamic model of the wind turbines with trailing edge flaps is proposed firstly based on the modified blade element momentum method (BEM) in this paper. Then, the nonlinear controller for the nonlinear model of wind turbines with TEF is designed using backstepping control method, the state variables and control signal are globally bounded and the output power of the wind turbine system can converge to a small region around the rated power. The information of wind speed is not used in the design of nonlinear controller, so the control strategy reduces the difficulty of the implementation on the engineering domain. Finally, simulation of control system are carried out under 12 m/s15 m/s step wind, wind disturbance based on the four-components wind model, external disturbance and 10% wind turbine rotary inertia uncertainty. The simulation results show that the proposed controller is capable of stabilizing the output power of the wind turbine effectively and has strong robustness.