摘要
微波加热技术广泛的应用于生物、化学等各个工业领域。本文首先阐述了基于最小二乘法的系统辨识方法理论;其次针对微波感应加热过程数据,利用Matlab系统辨识工具箱进行离线数据系统辨识,建立了微波感应加热系统的一阶滞后和二阶滞后系统模型,通过仿真对比,二阶滞后模型同原始数据的相关性优于一阶滞后系统,为微波加热过程温度控制方法的设计奠定了基础。
Microwave heating technology is widely used in many industrial applications,such as biopharmaceutical,organic synthesis and so on. Firstly,the article presents the theory of the system identification based on the least squares estimate method. Then,a set of data of the microwave heating process is engaged in the Matlab System Identification Tool to get the estimate model,two models are achieved that are the 1-order system model with delay and the 2-order system model with delay. The simulations show that the 2-order model is better than the 1-order model in terms of the correlation between the estimated model and the source data. This modelling method based on system identification will contribute in the microwave heating temperature control field.
出处
《新型工业化》
2014年第4期23-27,共5页
The Journal of New Industrialization
基金
中央高校基本科研业务费专项资金(项目号:CDJXS12171104)
贵州省科学技术基金资助项目(黔科合J字LKG[2013]46号)
关键词
微波加热
系统辨识
MATLAB
最小二乘法
Microwave heating
system identification
Matlab
Least squares estimate