Global exponential stabilization for chaotic brushless DC motor with simpler controllers

Di Liu; Guopeng Zhou; Xiaoxin Liao

doi:10.1177/0142331218802355

Global exponential stabilization for chaotic brushless DC motor with simpler controllers

Di Liu, Guopeng Zhou, Xiaoxin Liao

Research output: Contribution to journal › Article › Academic › peer-review

6 Citations (Scopus)

Abstract

In this paper, computer assisted proofs in dynamics (CAPD) group and conventional dynamic analysis methods are applied to find the parameters thatmake the brushless DC motor (BLDCM) system chaotic. For the purpose to make the BLDCM system exponentially stable, four simple controllerswith just one state variable are proposed, which means that it only needs one sensor instead of two or more in practice. Numerical simulations showthat the motor with the new controllers can converge efficiently. Finally, the topological horseshoe theory is introduced to verify the existence ofchaosin BLDCM system.

Original language	English
Pages (from-to)	2678-2684
Number of pages	16
Journal	Transactions of the Institute of Measurement and Control
Volume	41
Issue number	9
DOIs	https://doi.org/10.1177/0142331218802355
Publication status	Published - 1-Jun-2019
Externally published	Yes

Access to Document

10.1177/0142331218802355

Handle.net

Persistent link

Cite this

@article{0c42608a3394493fa39a0c39c507d6db,

title = "Global exponential stabilization for chaotic brushless DC motor with simpler controllers",

abstract = "In this paper, computer assisted proofs in dynamics (CAPD) group and conventional dynamic analysis methods are applied to find the parameters thatmake the brushless DC motor (BLDCM) system chaotic. For the purpose to make the BLDCM system exponentially stable, four simple controllerswith just one state variable are proposed, which means that it only needs one sensor instead of two or more in practice. Numerical simulations showthat the motor with the new controllers can converge efficiently. Finally, the topological horseshoe theory is introduced to verify the existence ofchaosin BLDCM system.",

author = "Di Liu and Guopeng Zhou and Xiaoxin Liao",

year = "2019",

month = jun,

day = "1",

doi = "10.1177/0142331218802355",

language = "English",

volume = "41",

pages = " 2678--2684 ",

journal = "Transactions of the Institute of Measurement and Control",

issn = "1477-0369",

publisher = "SAGE Publishing",

number = "9",

}

TY - JOUR

T1 - Global exponential stabilization for chaotic brushless DC motor with simpler controllers

AU - Liu, Di

AU - Zhou, Guopeng

AU - Liao, Xiaoxin

PY - 2019/6/1

Y1 - 2019/6/1

N2 - In this paper, computer assisted proofs in dynamics (CAPD) group and conventional dynamic analysis methods are applied to find the parameters thatmake the brushless DC motor (BLDCM) system chaotic. For the purpose to make the BLDCM system exponentially stable, four simple controllerswith just one state variable are proposed, which means that it only needs one sensor instead of two or more in practice. Numerical simulations showthat the motor with the new controllers can converge efficiently. Finally, the topological horseshoe theory is introduced to verify the existence ofchaosin BLDCM system.

AB - In this paper, computer assisted proofs in dynamics (CAPD) group and conventional dynamic analysis methods are applied to find the parameters thatmake the brushless DC motor (BLDCM) system chaotic. For the purpose to make the BLDCM system exponentially stable, four simple controllerswith just one state variable are proposed, which means that it only needs one sensor instead of two or more in practice. Numerical simulations showthat the motor with the new controllers can converge efficiently. Finally, the topological horseshoe theory is introduced to verify the existence ofchaosin BLDCM system.

UR - https://publons.com/publon/31335959/

U2 - 10.1177/0142331218802355

DO - 10.1177/0142331218802355

M3 - Article

SN - 1477-0369

VL - 41

SP - 2678

EP - 2684

JO - Transactions of the Institute of Measurement and Control

JF - Transactions of the Institute of Measurement and Control

IS - 9

ER -

Global exponential stabilization for chaotic brushless DC motor with simpler controllers

Abstract

Access to Document

Handle.net

Other files and links

Embargoed Document

Fingerprint

Cite this