一种新型的降阶预估自校正控制算法

A NEW REDUCED-ORDER PREDICTIVE SELF-TUNING CONTROL ALGORITHM

大多数工业对象都存在着纯滞后时间,本文针对纯时滞控制对象,提出了一种具有参数自校正能力的控制器。数字仿真实验以及高温扩散炉实时控制结果证明,该算法适合于具有大纯时滞的最小相位或非最小相位系统,而且在实时性、控制精度等方面,具有突出的特点。

This paper presents a new self-tuning controller for pure time-lag controlled processes. The experimental results of digital simulation and real-time control on the high temperature diffuse furnaces prove that the algorithm suits the mimimum or non - minimum systems which have large time-lag, and it has distinguished characteristics in real-time and control precision.