Virtual Reference Feedback Tuning of MIMO Data-Driven Model-Free Adaptive Control Algorithms

被引：6

作者：

Roman, Raul-Cristian ^{[1
]}

Radac, Mircea-Bogdan ^{[1
]}

Precup, Radu-Emil ^{[1
]}

Petriu, Emil M. ^{[2
]}

机构：

[1] Politehn Univ Timisoara, Timisoara, Romania

[2] Univ Ottawa, Ottawa, ON, Canada

来源：

TECHNOLOGICAL INNOVATION FOR CYBER-PHYSICAL SYSTEMS | 2016年 / 470卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Model-Free Adaptive Control; Optimization; Twin Rotor Aerodynamic System; Virtual Reference Feedback Tuning; SEARCH ALGORITHM; SYSTEMS; DESIGN;

D O I：

10.1007/978-3-319-31165-4_25

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 proposes a new tuning approach by which all Model-Free Adaptive Control (MFAC) algorithm parameters are computed using a nonlinear Virtual Reference Feedback Tuning (VRFT) algorithm. This new mixed data-driven control approach, which results in a mixed data-driven tuning algorithm, is advantageous as it offers a systematic way to tune the parameters of MFAC algorithms by VRFT using only the input/output data of the process. The proposed approach is validated by a set of MIMO experiments conducted on a nonlinear twin rotor aerodynamic system laboratory of equipment position control system. The mixed VRFT-MFAC algorithm is compared with a classical MFAC algorithm whose initial parameter values are optimally tuned.

引用

页码：253 / 260

页数：8

共 50 条

[1] Data-driven Model-Free Adaptive Control Tuned by Virtual Reference Feedback Tuning
Roman, Raul-Cristian
Radac, Mircea-Bogdan
Precup, Radu-Emil
Petriu, Emil M.
ACTA POLYTECHNICA HUNGARICA, 2016, 13 (01) : 83 - 96
[2] Data-Driven Virtual Reference Feedback Tuning and Reinforcement Q-learning for Model-Free Position Control of an Aerodynamic System
Radac, Mircea-Bogdan
Precup, Radu-Emil
Roman, Raul-Cristian
2016 24TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2016, : 1126 - 1132
[3] Virtual Reference Feedback Tuning with data-driven reference model selection
Breschi, Valentina
Formentin, Simone
LEARNING FOR DYNAMICS AND CONTROL, VOL 120, 2020, 120 : 37 - 45
[4] Data-Driven Model-Free Adaptive Attitude Control Approach for Launch Vehicle With Virtual Reference Feedback Parameters Dining Method
Duan, Li
Hou, Zhongsheng
Yu, Xian
Jin, Shangtai
Lu, Kunfeng
IEEE ACCESS, 2019, 7 : 54106 - 54116
[5] Data-driven set-point tuning of model-free adaptive control
Lin, Na
Chi, Ronghu
Liu, Yang
Hou, Zhongsheng
Huang, Biao
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 7667 - 7686
[6] Data-driven MIMO model-free reference tracking control with nonlinear state-feedback and fractional order controllers
Radac, Mircea-Bogdan
Precup, Radu-Emil
APPLIED SOFT COMPUTING, 2018, 73 : 992 - 1003
[7] Data-driven distributed control: Virtual reference feedback tuning in dynamic networks
Steentjes, Tom R., V
Lazar, Mircea
Van den Hof, Paul M. J.
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 1804 - 1809
[8] Data-Driven Model-Free Model-Reference Nonlinear Virtual State-Feedback Control from Input-Output Data
Radac, Mircea-Bogdan
Precup, Radu-Emil
Hedrea, Elena-Lorena
Mituletu, Ion-Cornel
2018 26TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2018, : 332 - 338
[9] Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems
Roman, Raul-Cristian
Precup, Radu-Emil
Bojan-Dragos, Claudia-Adina
Szedlak-Stinean, Alexandra-Iulia
7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE, 2019, 162 : 267 - 274
[10] Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems
Hou, Zhongsheng
Jin, Shangtai
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 22 (12): : 2173 - 2188

← 1 2 3 4 5 →