摘要
针对目前汽轮机及其调节系统传统辨识方法存在的周期长、适应性差和辨识过程冗杂等问题,提出了一种直接辨识法。该辨识方法基于"最小二乘"思想,通过数值方法求解系统仿真值与实测值之间偏差最小时所对应的非线性方程,可快速准确地获得待辨识参数值。经过实际参数辨识试验,本文提出的直接辨识法的辨识过程效率高、辨识结果准确、鲁棒性强。该辨识方法为汽轮机及其调节系统参数辨识提供了一种新型有效手段。
Since most of the traditional parameter identification methods used in the steam turbine and its governing system have the shortages of poor fitness, complicated identification process and long period, a novel identification method based on least square theory, called direct identification method, is proposed in this paper. Parameter to be identified can be obtained quickly and accurately through direct identification method if the identification process is transferred to solve nonlinear equation which represents the minimal error between simulated data and measured data. The identification results show that during identification process the proposed method has high identification efficiency, accurate identification results and robust identification process compared with the traditional parameter identification method. The proposed identification method brings a novel way for steam turbine speed governor system identification.
作者
钟晶亮
苟小龙
邓彤天
Zhong Jinghang;Gou Xiaolong;Deng Tongtian(Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.Guiyang 550002,China;School of Power Engineering,Chongqing University,Chongqing 400044,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2018年第9期3312-3318,共7页
Journal of System Simulation
关键词
汽轮机
调节系统
参数辨识
辨识方法
steam turbine
speed governor system
parameter identification
identification method