系统仿真学报 ›› 2019, Vol. 31 ›› Issue (5): 955-962.doi: 10.16182/j.issn1004731x.joss.17-0174

• 仿真应用工程 • 上一篇    下一篇

最大功率捕获下风力机LPV控制器设计

郑洋, 吴定会, 纪志成   

  1. 江南大学 轻工过程先进控制教育部重点实验室,江苏 无锡 214122
  • 收稿日期:2017-04-20 修回日期:2017-06-01 出版日期:2019-05-08 发布日期:2019-11-20
  • 作者简介:郑洋(1994-),男,安徽淮北,硕士,研究方向为风力机控制;吴定会(1970-),男,安徽合肥,博士,副教授,研究方向为故障诊断和容错控制;纪志成(1959-),男,浙江宁波,博士,教授,博导,研究方向为风力机控制。
  • 基金资助:
    国家自然科学基金(61572237)

LPV Controller Design of Wind Turbine with Maximum Power Point Tracking

Zheng Yang, Wu Dinghui, Ji Zhicheng   

  1. Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China
  • Received:2017-04-20 Revised:2017-06-01 Online:2019-05-08 Published:2019-11-20

摘要: 针对风力机在额定风速以下效率较低以及风速不确定的问题,提出最大功率捕获(maximum power point tracking, MPPT)下的多胞形控制器设计方法。考虑到风力机气动系统具有高度非线性,利用雅克比线性化和凸分解技术,以气动转矩的偏导参数为调度变量,将风力机系统转换为具有多胞形结构的线性变参数(linear parameter varying, LPV)模型,并通过求解线性矩阵不等式(linear matrix inequalities, LMIs)得到具有多胞形结构的LPV控制器。仿真结果表明,所设计的控制器既能保证系统在额定风速以下实现MPPT捕获,又具有很强的鲁棒性。

关键词: 风力机, 线性变参数, 最大功率捕获, 多胞形控制器

Abstract: A design method of the polytopic controller under the maximum power point tracking (MPPT) is proposed in addressing the low efficiency of the wind turbine under rated wind speed and uncertainty of the wind speed. Considering high nonlinearity of the aerodynamic system, the Jacobi linearization and the convex decomposition technique are employed to transform the wind turbine system into a polytopic linear parameter varying (LPV) model with the bias torque of the aerodynamic torque as the scheduling variable. By solving the linear matrix inequalities (LMIs), a polytopic LPV controller is obtained. The simulation results show that the designed controller not only guarantees the MPPT under the rated wind speed, but also has strong robustness.

Key words: wind turbine, linear parameter varying, maximum power point tracking, polytopic controller

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