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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.
In this paper, dyeing and finishing plant dyeing and finishing plant dyeing cloth dyeing machine temperature as the object of control, using the minimum prediction of dynamic forecasting method for the composition of self-tuning control system, established the controlled object and mathematical model.In comparing the two kinds of defense Based on the knowledge of the method, the least variance of dynamic prediction method is adopted as the control algorithm of the controlled object in the dyeing and finishing workshop. The dynamic characteristics of the controlled object are measured to obtain the time delay d (?) 0 of the controlled object, Therefore, a practical self-tuning temperature control algorithm and software are designed based on the mathematic model of d = 0 and the recursive estimation algorithm of dynamic forecasting. The algorithm and software are applied to production practice. The process curves and technical requirements printed out by the computer Compared with the error of the process of song <± 1 ℃, so the design of the self-tuning control system and algorithm is successful, get better control effect.