A Self-Tuning of a Wavelet PID Controller

被引：9

作者：

Cruz-Tolentino, J. A. ^{[1
]}

Ramos-Velasco, L. E. ^{[1
]}

Espejel-Rivera, M. A. ^{[2
]}

机构：

[1] Univ Autonoma Estado Hidalgo, Ctr Invest Tecnol Informac & Sistemas, Div ICBI, Carr Pachuca Tulancingo Km 4-5, Pachuca, Hidalgo, Mexico

[2] Inst Technol Pachuca, Pachuca, Hidalgo, Mexico

来源：

20TH INTERNATIONAL CONFERENCE ON ELECTRONICS COMMUNICATIONS AND COMPUTERS (CONIELECOMP 2010) | 2010年

关键词：

Control; multiresolution analysis; neural networks; PID; wavelet;

D O I：

10.1109/CONIELECOMP.2010.5440793

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper a self-tuning wavelet PID controller using wavelet networks is presented. The wavelet-based multiresolution PID controller was purpose by [8], the ability of this controller is to provide good rejection to disturbances and smooth control signal. One of its disadvantages is that the tuning gains are in trial or error mode. A wavelet network to identify the system and to tune the gains of the wavelet PID controller is proposed. To validate the proposed control system numerical simulation is performed for a motion control system.

引用

页码：73 / 78

页数：6

共 50 条

[31] Investigation on Temperature and Humidity Control Fuzzy Self-Tuning PID Method
Liu Jie
Zhou Enze
He Yunfeng
Li Xiaojun
ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING, PTS 1-3, 2011, 271-273 : 1741 - +
[32] Self-Tuning PID Control of a Brushless DC Motor by Adaptive Interaction
Gundogdu, Tayfun
Komurgoz, Guven
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2014, 9 (04) : 384 - 390
[33] Recovery of High-Purity Magnesium Hydroxide with Self-Tuning PID Control and PID of pH
Demirci, Yavuz
Alpbaz, Mustafa
POLLUTION, 2022, 8 (04): : 1348 - 1357
[34] The self-tuning PID decoupling control based on the diagonal recurrent neural network
Zhang, Ming-Guang
Wang, Xing-Gui
Li, Wen-Hui
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3016 - +
[35] Fuzzy Self-tuning Control of PID Parameters in SPMIG for Aluminum Alloy Sheet
Liao Tianfa
Xue Jiaxiang
PROCEEDINGS OF 2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2017), 2017, : 525 - 528
[36] Auto Tuning of PID Controller
Sukede, Abhijeet Kishorsingh
Arora, Jasmineet
2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INSTRUMENTATION AND CONTROL (ICIC), 2015, : 1459 - 1462
[37] A self-tuning based fuzzy-PID approach for grinding process control
Yang, Z
Gao, Y
Zhang, D
Huang, T
ADVANCES IN ABRASIVE TECHNOLOGY V, 2003, 238-2 : 375 - 380
[38] Neural Network-Based Self-Tuning PID Control for Underwater Vehicles
Hernandez-Alvarado, Rodrigo
Govinda Garcia-Valdovinos, Luis
Salgado-Jimenez, Tomas
Gomez-Espinosa, Alfonso
Fonseca-Navarro, Fernando
SENSORS, 2016, 16 (09):
[39] Strip thickness control of reversing mill using self-tuning PID neurocontroller
Fan, J
Tieu, AK
Yuen, WYD
ISIJ INTERNATIONAL, 1999, 39 (01) : 39 - 46
[40] Controller parameter self-tuning when control loop mode switching for multi-loop PID control system of chemical process
Wang J.
Xu F.
Luo X.
Huagong Xuebao/CIESC Journal, 2022, 73 (04): : 1647 - 1657

← 1 2 3 4 5 →