MIMO CCS Model Identification Based on GA for Closed Loop Field Data
The MIMO model identification based on experiment closed loop field data for power plant boiler-turbine Coordinated Control System (CCS) is developed in this paper.The CCS fast and slow dynamic processes,which correspondence to large and small time constants with time delay,are modelled by combination Genetic Algorithm (GA) with step response analysis.The step response is obtained from the closed loop system response tested by normal operation signals.The step modelling formula are derived,and the identified parameters are used to initialize and to form the ranges for GA chromosomes.This multivariable system identification is suitable for control system parameter tuning of modern power plant equipped with Distributed Control System (DCS).Some simulations and considerations for the stable and margin stable system application of the technology are reported.
MIMO Time Delay System Identification Genetic Algorithm (GA) Step Response Power Plant Process Dynamics.
Pingkang Li Jiehao Zhang Xiuxia Du
School of Mechanical Engineering,Beijing Jiaotong University,100044,Beijing,China
国际会议
International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)
上海
英文
2008-06-29(万方平台首次上网日期,不代表论文的发表时间)