Dynamic fuzzy modelling for organic rankine cycle systems

Jianhua Zhang; Zhuofei Wang; Bo Li; Rui Wang; Mingming Lin

Dynamic fuzzy modelling for organic rankine cycle systems

Jianhua Zhang^*
, Zhuofei Wang
, Bo Li
, Rui Wang
, Mingming Lin

^*Corresponding author for this work

North China Electric Power University
Shisanling Pumped Storage Power Station

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

Abstract

Based on recursive fuzzy c-means (FCM) algorithm, the Takagi-Sugeno model is established for Organic Rankine Cycle (ORC) based waste heat recovery systems. The premise parameters are obtained by FCM algorithm while the consequent parameters are identified by forgetting factor least-square (FFLS) algorithm. The validity of identification algorithm is tested and verified. Simulation results show that the established T-S model can characterize the dynamic characteristics of the ORC system well.

Original language	English
Pages (from-to)	3007-3013
Number of pages	7
Journal	ICIC Express Letters
Volume	8
Issue number	11
State	Published - 1 Dec 2014
Externally published	Yes

Keywords

Fuzzy logic
Modelling
Organic rankine cycle
Waste heat recovery

Cite this

@article{ce825bd053aa4f1ba2f41c0b75b9997a,

title = "Dynamic fuzzy modelling for organic rankine cycle systems",

abstract = "Based on recursive fuzzy c-means (FCM) algorithm, the Takagi-Sugeno model is established for Organic Rankine Cycle (ORC) based waste heat recovery systems. The premise parameters are obtained by FCM algorithm while the consequent parameters are identified by forgetting factor least-square (FFLS) algorithm. The validity of identification algorithm is tested and verified. Simulation results show that the established T-S model can characterize the dynamic characteristics of the ORC system well.",

keywords = "Fuzzy logic, Modelling, Organic rankine cycle, Waste heat recovery",

author = "Jianhua Zhang and Zhuofei Wang and Bo Li and Rui Wang and Mingming Lin",

note = "Publisher Copyright: {\textcopyright} 2014 ICIC International.",

year = "2014",

month = dec,

day = "1",

language = "英语",

volume = "8",

pages = "3007--3013",

journal = "ICIC Express Letters",

issn = "1881-803X",

publisher = "ICIC International",

number = "11",

}

TY - JOUR

T1 - Dynamic fuzzy modelling for organic rankine cycle systems

AU - Zhang, Jianhua

AU - Wang, Zhuofei

AU - Li, Bo

AU - Wang, Rui

AU - Lin, Mingming

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Based on recursive fuzzy c-means (FCM) algorithm, the Takagi-Sugeno model is established for Organic Rankine Cycle (ORC) based waste heat recovery systems. The premise parameters are obtained by FCM algorithm while the consequent parameters are identified by forgetting factor least-square (FFLS) algorithm. The validity of identification algorithm is tested and verified. Simulation results show that the established T-S model can characterize the dynamic characteristics of the ORC system well.

AB - Based on recursive fuzzy c-means (FCM) algorithm, the Takagi-Sugeno model is established for Organic Rankine Cycle (ORC) based waste heat recovery systems. The premise parameters are obtained by FCM algorithm while the consequent parameters are identified by forgetting factor least-square (FFLS) algorithm. The validity of identification algorithm is tested and verified. Simulation results show that the established T-S model can characterize the dynamic characteristics of the ORC system well.

KW - Fuzzy logic

KW - Modelling

KW - Organic rankine cycle

KW - Waste heat recovery

UR - https://www.scopus.com/pages/publications/84919438700

M3 - 文章

AN - SCOPUS:84919438700

SN - 1881-803X

VL - 8

SP - 3007

EP - 3013

JO - ICIC Express Letters

JF - ICIC Express Letters

IS - 11

ER -

Dynamic fuzzy modelling for organic rankine cycle systems

Abstract

Keywords

Other files and links

Fingerprint

Cite this