Generalized Minimum Variance Control for Water Distribution System

被引：11

作者：

Silva, M. J. G. ^{[1
]}

Araujo, C. S. ^{[2
]}

Bezerra, S. T. M. ^{[3
]}

Souto, C. R. ^{[4
]}

Silva, S. A. ^{[4
]}

Gomes, H. P. ^{[5
]}

机构：

[1] IFAL, Maceio, Brazil

[2] Univ Fed Paraiba, Ctr Energias Alternat & Renovaveis, Joao Pessoa, Paraiba, Brazil

[3] UFPE, CAA, Lab Hidraul Expt & Recursos Hidr, Caruaru, Brazil

[4] Univ Fed Paraiba, Dept Engn Eletr, Joao Pessoa, Paraiba, Brazil

[5] Univ Fed Paraiba, Lab Eficiencia Energet & Hidraul Saneamento LENHS, Joao Pessoa, Paraiba, Brazil

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2015年 / 13卷 / 03期

关键词：

Pumping System; Power Efficiency; Control System; MANIPULATORS;

D O I：

10.1109/TLA.2015.7069088

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the project of an adaptive control system to modeling and controlling, in real time, a water distribution system. The controllers act in determining the turning speed of the motor/pump set and in the opening angle of control valves. An experimental workbench was set aiming at modeling and identifying parametrically a hydraulic network. The control system is a Generalized Minimum Variance self-tuning (GMV), whose parameters where real-time estimated by the recursive least squares (MQR) method according to the imposed inputs to the converter and the valves. The GMV aims at the pressure control in measuring points, which provided the reduction of energy and water in the workbench. Experimental results show the performance of adaptive control system and its ability to control the water distribution process.

引用

页码：651 / 658

页数：8

共 50 条

[1] Performance Bound of Parallel Cascade Control System Based on Minimum Variance and Generalized Minimum Variance Benchmarking
Guo, Jianwen
Du, Wenli
Qian, Feng
[J]. PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 1334 - 1339
[2] Generalized Minimum Variance Control for MIMO System with Multiple Sampling Periods
Bessho, Satoshi
Mori, Yasuchika
[J]. 2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7, 2008, : 1236 - 1240
[3] Generalized minimum variance control for MIMO system with multiple time delays
Takaki, Akihiro
Mori, Yasuchika
[J]. 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 959 - +
[4] Strong Stability System Regulating Safety for Generalized Minimum Variance Control
Yanou, Akira
Minami, Mamoru
Matsuno, Takayuki
[J]. 2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2017,
[5] Parametric Robust Generalized Minimum Variance Control
Cunha, Leiliane Borges
Silveira, Antonio da Silva
Barra Jr, Walter
[J]. IEEE ACCESS, 2022, 10 : 75884 - 75897
[6] GENERALIZED MINIMUM VARIANCE CONTROL LAW REVISITED
GRIMBLE, MJ
[J]. OPTIMAL CONTROL APPLICATIONS & METHODS, 1988, 9 (01): : 63 - 77
[7] A design method of generalized minimum variance control in a multi-rate system
Sato, Takao
Inoue, Akira
[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2006, 1 (03) : 345 - 348
[8] Performance Assessment of Cascade Control System Based on Generalized Minimum Variance Benchmarking
Wang Haibo
Yang Maying
[J]. PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE, 2010, : 3876 - 3881
[9] Performance Evaluation of Generalized Minimum Variance Multi-disturbance Control System
Li Qida
Tan Shubin
Yang Yongkuan
[J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 3286 - 3290
[10] Adaptive Generalized Minimum Variance Control for TCP/AQM
Barzamini, Roohollah
Shafiee, Masoud
[J]. 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010), 2010, : 2361 - 2366

← 1 2 3 4 5 →