Control of a MIMO Coupled Plant Using a Neuro-Fuzzy Adaptive System Based on Boolean Relations

被引：6

作者：

Espitia, Helbert ^{[1
]}

Machon, Ivan ^{[2
]}

Lopez, Hilario ^{[2
]}

机构：

[1] Univ Distrital Francisco Jose de Caldas, Fac Ingn, Bogota 11021110231, Colombia

[2] Univ Oviedo, Dept Ingn Elect Elect Computadores & Sistemas, Campus Viesques, Gijon 33203, Spain

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Adaptive control; Adaptation models; MIMO communication; Control systems; Neural networks; Uncertainty; Fuzzy logic; Adaptive; control; hydraulic; MIMO; neuro-fuzzy; SLIDING MODE CONTROL; INFERENCE SYSTEM; DESIGN; MANAGEMENT;

D O I：

10.1109/ACCESS.2021.3073067

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 document describes the implementation of a neuro-fuzzy adaptive system MIMO (Multiple Input Multiple Output), using two neuro-fuzzy MIMO systems: one for control and the other for identifying the plant. Under this approach, the controller is optimized, employing the model obtained during the identification of the plant that utilizes data generated from the controller's operation. In this way, the plant identification and the controller optimization is performed iteratively. The application case consists of controlling a MIMO non-linear hydraulic system fed by a pump and a three-way valve. In order to observe the controller performance various experimental configurations are considered.

引用

页码：59987 / 60009

页数：23

共 62 条

[41]

Nguyen HungT., 2003, A First Course in FUZZY and NEURAL CONTROL

[42]

Nguyen N. T., 2018, Model-reference adaptive control

[43] Online Neuro-Fuzzy Controller: Design for Robust Stability [J].

Oliveira, Everthon De Souza ;

Takahashi, Ricardo H. C. ;

Caminhas, Walmir Matos .

IEEE ACCESS, 2020, 8 :193768-193776

[44]

Qi R, 2019, COMMUN CONTROL ENG, P1, DOI 10.1007/978-3-030-19882-4

[45] An adaptive neuro-fuzzy sliding mode controller for MIMO systems with disturbance [J].

Saafan, Mahmoud M. ;

Abdelsalam, Mohamed M. ;

Elksas, Mohamed S. ;

Saraya, Sabry F. ;

Areed, Fayez F. G. .

CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2017, 25 (04) :463-476

[46] Adaptive predictive control based on adaptive neuro-fuzzy inference system for a class of nonlinear industrial processes [J].

Sarhadi, Pouria ;

Rezaie, Behrooz ;

Rahmani, Zahra .

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2016, 61 :132-137

[47]

Sastry S., 2011, DOVER BOOKS ELECT EN

[48] Design of sliding mode control for quadruple-tank MIMO process with time delay compensation [J].

Shah, D. H. ;

Patel, D. M. .

JOURNAL OF PROCESS CONTROL, 2019, 76 :46-61

[49] Hybridized classification algorithms for data classification applications: A review [J].

Sherwani, F. ;

Ibrahim, B. S. K. K. ;

Asad, Muhammad Mujtaba .

EGYPTIAN INFORMATICS JOURNAL, 2021, 22 (02) :185-192

[50]

Siddique N., 2013, Computational intelligence: synergies of fuzzy logic, neural networks and evolutionary computing, DOI 10.1002/9781118534823

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