A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness

被引：12

作者：

Lima, Daniel Martins ^{[1
]}

Lima, Bruno Martins ^{[2
]}

Normey-Rico, Julio Elias ^{[2
]}

机构：

[1] Univ Fed Santa Catarina UFSC, Dept Controle Automacao & Comp, Blumenau, SC, Brazil

[2] Univ Fed Santa Catarina UFSC, Dept Automacao & Sistemas, Florianopolis, SC, Brazil

来源：

JOURNAL OF PROCESS CONTROL | 2021年 / 105卷

关键词：

Dead-time systems; Dead-time compensation; Kalman Filter; Predictors; SMITH PREDICTOR; VARYING DELAY; LTI SYSTEMS; CONTROLLER; SCHEME;

D O I：

10.1016/j.jprocont.2021.07.011

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Dead-time processes are common in industry and represent a challenge for feedback control. The use of predictor structures with the controllers can attenuate this. A predictor is proposed here based on the Kalman filter, the Kalman Predictor (KP), that has only one tuning parameter for SISO systems and can be used with non-minimum phase, open-loop unstable and integrative systems of any order, and is also capable of estimating many types of disturbances. It is shown that the KP implicitly defines a Filtered Smith Predictor (FSP), hence, all tools used to analyze the closed-loop properties of the FSP can be used, including robustness and disturbance rejection. Tuning guidelines are provided and simulation examples with comparisons with other predictor structures are used to illustrate the advantages of the proposed KF. (C) 2021 Elsevier Ltd. All rights reserved.

引用

页码：108 / 116

页数：9

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