An intelligent algorithm for engine transient state working condition test-stand

J. Sun; X. Y. Gao; Y. Sun

An intelligent algorithm for engine transient state working condition test-stand

J. Sun^*, X. Y. Gao, Y. Sun

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

An intelligent approach, the predictive decoupling fuzzy control algorithm which is applied in engine transient state experiment, is described in this article. In this algorithm two crucial parameters, engine speed and torque, are employed to control throttle position and excited current. The results confirm that it could be reliably used to run engine transient state experiment under various working conditions.

Original language	English
Pages (from-to)	272-277
Number of pages	6
Journal	IEEE International Conference on Fuzzy Systems
Volume	1
Publication status	Published - 2002
Externally published	Yes
Event	2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002

Keywords

Engine
Fuzzy logic control
Fuzzy sets
On-line
Real time

Cite this

@article{08cc8cf546754df29b66f0317f7e48d0,

title = "An intelligent algorithm for engine transient state working condition test-stand",

abstract = "An intelligent approach, the predictive decoupling fuzzy control algorithm which is applied in engine transient state experiment, is described in this article. In this algorithm two crucial parameters, engine speed and torque, are employed to control throttle position and excited current. The results confirm that it could be reliably used to run engine transient state experiment under various working conditions.",

keywords = "Engine, Fuzzy logic control, Fuzzy sets, On-line, Real time",

author = "J. Sun and Gao, {X. Y.} and Y. Sun",

year = "2002",

language = "English",

volume = "1",

pages = "272--277",

journal = "IEEE International Conference on Fuzzy Systems",

issn = "1098-7584",

note = "2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 ; Conference date: 12-05-2002 Through 17-05-2002",

}

TY - JOUR

T1 - An intelligent algorithm for engine transient state working condition test-stand

AU - Sun, J.

AU - Gao, X. Y.

AU - Sun, Y.

PY - 2002

Y1 - 2002

N2 - An intelligent approach, the predictive decoupling fuzzy control algorithm which is applied in engine transient state experiment, is described in this article. In this algorithm two crucial parameters, engine speed and torque, are employed to control throttle position and excited current. The results confirm that it could be reliably used to run engine transient state experiment under various working conditions.

AB - An intelligent approach, the predictive decoupling fuzzy control algorithm which is applied in engine transient state experiment, is described in this article. In this algorithm two crucial parameters, engine speed and torque, are employed to control throttle position and excited current. The results confirm that it could be reliably used to run engine transient state experiment under various working conditions.

KW - Engine

KW - Fuzzy logic control

KW - Fuzzy sets

KW - On-line

KW - Real time

UR - http://www.scopus.com/inward/record.url?scp=0036456498&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036456498

SN - 1098-7584

VL - 1

SP - 272

EP - 277

JO - IEEE International Conference on Fuzzy Systems

JF - IEEE International Conference on Fuzzy Systems

T2 - 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02

Y2 - 12 May 2002 through 17 May 2002

ER -

An intelligent algorithm for engine transient state working condition test-stand

Abstract

Keywords

Other files and links

Cite this