摘要
本文以染织厂染整车间匹布染色机染缸温度为被控对象,用动态预报最小方差为辩识方法组成的自校正控制系统,建立了被控对象和数学模型.在比较两种辩识方法的基础上,采用了动态预报方差最小方法作为该染整车间染缸温度被控对象的控制算法.实测了被控对象的动态特性,得到被控对象的时滞d(?)0,因此用 d=0时的被控对象数学模型和动态预报递推估计算法,设计了一种实用的自校正温度控制算法和软件,并应用于生产实践,从计算机打印出的工艺曲线与工艺要求的工艺曲绂相比较误差<±1℃,故所设计的自校正控制系统和算法是成功的,获得了较好的控制效果.
This paper,is aimed at the temperature of a dying jar in a dying workshop as a controlled object,using dynamic reserved least square method to form a self-correction control system.Mathematical model of the controlled object is set up then.Based on the comparison of these two identified methods, the least square dynamic reservecl method is.taken as control algorithm of the jar temperature in the workshop,and the dynamic property of the con- trolled object is measured.Getting the result of lagging time for controlled object d=o,the mathematical model of the controlled object and dynamic reserved recursive estimation algorithm is used at d=0.A pratical self-correc- tion temperature control algorithm and the corresponding software are designed and applied to production.By comparing the curve calculated by computer and the curve required by production technique,the error+1℃ is obtained,which proves that this self-correctlon control system and algorithm can be successfully applied to production and getting a better controlling effect.
出处
《河北工学院学报》
1992年第1期33-42,共10页
Journal of Hubei Polytechnic University
关键词
温度控制系统
自校正
闭环系统
Temperature control system
Self-correction
Closed cycle system
Least square recursive estimation
Dynamic reserved recursive estimation
Identification
State-space
Time varying lagging control system
Pole configuration
Transfer functio