摘要
风力机液压马达变桨距系统存在高阶多耦合、不确定、非线性、难以控制的问题。为实现桨距角跟踪控制,文章通过动力学分析建立液压马达变桨距系统的数学模型,确定系统特性。根据液压马达变桨距系统原理,采用SimHydraulics建立液压马达变桨距系统仿真模型,设计基于人工蜂群算法结合RBF神经网络的PID控制器,并且采用自适应矩估计算法代替梯度下降法对PID参数进行在线优化。仿真结果表明,采用文章算法,系统响应快,桨距角跟踪精度高。
There are high-order multi-coupling, uncertain, nonlinear, and difficult to control problems in wind turbine hydraulic motor pitch system. In order to achieve the pitch angle tracking control, the mathematical model of the hydraulic motor pitch system was firstly established by dynamic analysis to determine the system characteristics. According to the hydraulic motor pitch system principle, the hydraulic motor pitch system simulation model was established by SimHydraulics, then the PID controller based on artificial bee colony algorithm combined with RBF neural network was designed. Moreover, the adaptive moment estimation algorithm was used instead of the gradient descent method to optimize PID parameters in real time. The simulation results show that the algorithm adopted in this paper has faster response and higher tracking accuracy of the pitch angle.
作者
任海军
邓广
吉昊
郑智文
郭儒
Ren Haijun;Deng Guang;Ji Hao;Zheng Zhiwen;Guo Ru(School of Advanced Manufacture and Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《可再生能源》
CAS
北大核心
2019年第7期1078-1083,共6页
Renewable Energy Resources
基金
国家自然科学基金资助项目(51405052)
