摘要
为了在保持简便性的条件下尽量减小水轮机调速器电液随动系统的模型误差,从电液随动系统内部各主要状态变量的相互关系出发,建立了电液随动系统线性模型并用斐波那契法辨识其线性参数;经分析可知其模型误差主要来源于接力器速度限制,进而在该线性模型的基础上加入限速环节,以此建立电液随动系统非线性模型并用粒子群算法辨识其非线性参数。仿真试验表明,该非线性模型的模型误差较小,且结构较为简单,参数较好获取。
In order to minimize the model error without losing the simplicity,based on the relationship between the main state variables in the actuator,this paper established the linear model of the actuator and identified its linear parameters by Fibonacci method.The analysis shows that the model error is mainly due to the speed limit of the servomotor,therefore,the speed limit link is added to the linear model,and then established the nonlinear model of the actuator as well as identified its nonlinear parameters by particle swarm optimization.The simulation results show that the nonlinear model has relative small model error with simple structure,and its parameters are easy to be obtained.
作者
颜宁俊
冯陈
黄灿成
YAN Ning-jun;FENG Chen;HUANG Can-cheng(Datang Hydropower Science&Technology Research Institute,Nanning 530000,China;School of Hydropower and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《水电能源科学》
北大核心
2019年第11期166-169,82,共5页
Water Resources and Power
关键词
电液随动系统
非线性模型
参数辨识
模型误差
electro-hydraulic servo system
nonlinear model
parameter identification
model error
