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

^*此作品的通讯作者

North China Electric Power University
Shisanling Pumped Storage Power Station

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言	英语
页（从-至）	3007-3013
页数	7
期刊	ICIC Express Letters
卷	8
期	11
出版状态	已出版 - 1 12月 2014
已对外发布	是

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引用此

@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",

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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

摘要

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