摘要
针对风力发电系统不确定性、强非线性、建模难度大等给控制器设计带来困难的问题,将数据驱动与最优控制相结合以实现风力发电系统的载荷优化控制;根据风力发电系统的输入输出数据,获取马尔科夫参数,从而构建基于数据驱动的状态观测器,最终得到系统的最优反馈控制器。结果表明:该控制器的设计仅利用采样得到的输入输出数据,即可解决存在不确定性系统模型的控制问题;所设计的控制策略明显减小了风力发电系统的疲劳载荷,保证了系统的稳定性和动态性能。
In order to solve the difficult problem of wind power system which had characteristics such as s trong uncertainty,strong nonlinearity,and difficulty in modeling during designing controller,an optimal control method for wind power generation system was realized by combining data driven and optimal control.Markov parameters were obtained according to the input and output data of the system,then the state observer was constructed.The optimal feedback control law of the system was obtained at last.The design of the controller only uses the input and output data obtained by sampling,which solves the control problem of the existence of the uncertainty system model.The simulation results show that the designed control strategy can obviously reduce the fatigue load of the wind power system and ensure the stability and dynamic performance of the system.
作者
宋冬萍
许杏花
马忠鑫
SONG Dongping;XU Xinghua;MA Zhongxin(Depeartment of Electronics and Communication Engineering Suzhou Vocational Institute of Industrial Technology, Suzhou 215104,China;School of IOT Engineering,Jiangnan University,Wuxi 214100,China;Suzhou RS Technology Co.,Ltd.,Suzhou 215010,China)
出处
《济南大学学报（自然科学版）》
CAS
北大核心
2018年第3期234-239,255,共7页
Journal of University of Jinan(Science and Technology)
基金
国家自然科学基金项目(61672266)
作者简介
第一作者简介:宋冬萍(1980—),女,江苏南通人。讲师,硕士,研究方向为电子技术应用。E-mail:809728498@qq.com。;通信作者简介:许杏花(1992—),女,江苏无锡人。硕士研究生,研究方向为新能源技术。E-mail:emmafly537@sina.com。
