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あぁかがさざただなはばぱまやゃらわゎんいぃきぎしじちぢにひびぴみりうぅくぐすずつづっぬふぶぷむゆゅるえぇけげせぜてでねへべぺめれおぉこごそぞとどのほぼぽもよょろを

アァカサザタダナハバパマヤャラワヮンイィキギシジチヂニヒビピミリウゥクグスズツヅッヌフブプムユュルエェケゲセゼテデヘベペメレオォコゴソゾトドノホボポモヨョロヲ ―

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á à Á À é è É È ç Ç ê

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½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄

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RISS 인기검색어

쓰레기 소각플랜트의 상태공간모델 규명에 관한 연구 = A Study on Identification of State-Space Model for Refuse Incineration Plant

한글로보기

https://www.riss.kr/link?id=A105042795

저자

황이철 ; 전충환 ; 이진걸 ; Hwang, l-Cheol ; Jeon, Chung-Hwan ; Lee, Jin-Kul
발행기관
대한기계학회
학술지명
대한기계학회논문집B(Transactions of the KSME, B)
권호사항

Vol.24 No.3 [2000]
발행연도
2000
작성언어
Korean
주제어

쓰레기 소각플랜트 ; 자동연소제어 ; ARX 모델 ; IV:보조변수 규명법 ; 상태공간모델
등재정보
SCOPUS,KCI등재,ESCI
자료형태
학술저널
발행기관 URL
http://www.ksme.or.kr
수록면

354-362(9쪽)
DOI식별코드
10.22634/KSME-B.2000.24.3.354
제공처
ScienceON
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다국어 초록 (Multilingual Abstract)

This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.

번역하기

This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model...

This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.