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副教授   硕士生导师

性别: 女

毕业院校: 斯特莱斯克莱德大学

学位: 博士

所在单位: 力学与航空航天学院

学科: 飞行器设计. 控制理论与控制工程. 导航、制导与控制

办公地点: 海宇楼411A

联系方式: 邮箱:ypang@dlut.edu.cn

电子邮箱: ypang@dlut.edu.cn

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Nonlinear predictive generalized minimum variance LPV control of wind turbines

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论文类型: 会议论文

发表时间: 2016-09-21

收录刊物: EI

卷号: 2016

期号: CP694

摘要: More advanced control strategies are needed for use with wind turbines, due to increases in size and performance requirements. This applies to both individual wind turbine controls and for the total coordinated controls for wind farms. The most successful advanced control method used in other industries is predictive control, which has the unique ability to handle hard constraints that limit system performance. However, wind turbine control systems are particularly difficult in being very nonlinear and dependent upon the external parameter variations which determine behaviour. Nonlinear controllers are often complicated to implement. The approach proposed here is to use one of the latest predictive control methods which can be used with linear parameter varying (LPV) models. These can approximate the behaviour of nonlinear wind turbines and provide a simpler control structure to implement. The work has demonstrated the feasibility and benefits that may be obtained. ? 2016, Institution of Engineering and Technology. All rights reserved.

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