摘要
介绍辅助变量法与粒子群优化算法在舰艇发电机励磁系统辨识中的应用,并在Labview软件中编写了相应的计算程序。以某舰艇发电机励磁系统为例,在Matlab/Simulink中搭建该励磁系统仿真模型,将采样获得的输入输出数据,输入Labview辨识软件中,估计各参数值。实验分别采用+10%、+50%阶跃响应,辨识系统线性模型和非线性模型,并比较不同噪声幅值情况下的PSO辨识结果。实验结果证明PSO算法在励磁系统参数估计中的有效性。
This paper expounds the application of the Instrumental Variable method and particle swarm optimization al-gorithm in the identification of ship generator excitation system and write the corresponding calculation program in Lab-VIEW.Taking a ship generator excitation system in Matlab/Simulink.Putting the input and output data sampled in Lab-view for estimating parameter values.Respectively ＋10% and ＋50% step response identification system linear and nonlin-ear models,and compare the different noise amplitude in case of PSO recognition results.The experimental results demon-strate the validity of the PSO algorithm in the excitation system parameter estimation.
出处
《计算技术与自动化》
2014年第3期39-42,共4页
Computing Technology and Automation
关键词
励磁系统
参数辨识
辅助变量法
PSO
excitation system
parameter identification
instrumental variable
PSO
