Model-free adaptive filter to mitigate actuator wear

被引：3

作者：

Fortaleza, Eugenio L. F. ^{[1
]}

Gomes, Lucas M. ^{[1
]}

de A. Limaverde, Jose Oniram ^{[1
]}

de Campos, Mario C. M. M. ^{[2
]}

Longhi, Luis Gustavo S. ^{[3
]}

Lima, Marcelo Lopes de ^{[2
]}

Tognetti, Eduardo S. ^{[4
]}

机构：

[1] Univ Brasilia, Dept Mech Engn, Automat & Control Grp GRACO, Brasilia, DF, Brazil

[2] Petr Brasileiro SA Petrobras, Res & Dev Ctr CENPES, Rio De Janeiro, Rio De Janeiro, Brazil

[3] Petrobras SA, UO REFAP, Alberto Pasqualini Refinery Optimizat, Rio de Janeiro, Brazil

[4] Univ Brasilia, Dept Elect Engn, Brasilia, DF, Brazil

来源：

ISA TRANSACTIONS | 2022年 / 129卷

关键词：

Adaptive filter; Model-free; Exponential moving average; Industrial application; Process control; CONTROLLER;

D O I：

10.1016/j.isatra.2022.02.026

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The present article introduces an adaptive filter of statistical basis developed for closed-loop control applications, whose goal is to reduce actuator wear while ensuring a similar control performance regarding the original closed-loop system. The main idea is to avoid the rapid change of the filtered signal when the system output has a derivative not statistically significant regarding the expected measurement noise. The adaptation law of the time constant of the filter is model-free, and the only required information is the variance of the additive noise that the measurements are subjected to. The performance of the proposed adaptive method is illustrated through a combined numerical and experimental study, in addition to its application in an operational oil plant. The results indicate that our formulation holds promise for extending the life of actuators and is easy to implement in most programmable logic controllers.(c) 2022 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：493 / 504

页数：12

共 22 条

[1] Astrom K. J., 2006, ADV PID CONTROL
[2] Brown R. G., 1956, Exponential Smoothing: Forecasting for Practitioners
[3] Chui CK, 2019, KALMAN FILTERING REA
[4] Dorf R, 2010, PROCESS DYNAMICS CON, V12th, P1104
[5] Isaksson AJ, 2002, IEE P-CONTR THEOR AP, V149, P41, DOI [10.1049/ip-cta:20020111, 10.1049/ip-cta:2002011]
[6] Jeffrey A, 2008, Handbook of mathematical formulas and integrals, V4th
[7] Larsson P., 2012, IFAC Proc., V45, P175
[8] Adaptive Kalman filtering for closed-loop systems based on the observation vector covariance
Limaverde Filho, J. O. A.
Fortaleza, E. L. F.
Silva, J. G.
de Campos, M. C. M. M.
[J]. INTERNATIONAL JOURNAL OF CONTROL, 2022, 95 (07) : 1731 - 1746
[9] A Measurement Noise Rejection Method in the Feedback Control System Based on Noise Observer
Ning, Zongqi
Mao, Yao
Huang, Yongmei
Xi, Zhou
Zhang, Chao
[J]. IEEE SENSORS JOURNAL, 2021, 21 (02) : 1686 - 1693
[10] Ratnayake RMC, 2012, PROCEEDINGS OF THE ASME 31ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2012, VOL 6, P91

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