Towards Real-Time Combustion Phase Estimation for linear RCCI Model-Predictive Control Design

Amin Modabberian; Xiaoguo Storm; Aneesh Vasudev; Kai Zenger; Jari Hyvönen; Maciej Mikulski

doi:10.1016/j.ifacol.2023.10.1452

Towards Real-Time Combustion Phase Estimation for linear RCCI Model-Predictive Control Design

Amin Modabberian, Xiaoguo Storm, Aneesh Vasudev, Kai Zenger, Jari Hyvönen, Maciej Mikulski

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

28 Lataukset (Pure)

Abstrakti

Reactivity controlled compression ignition (RCCI) technology has gained in popularity due to its ability to achieve low level NOx and soot emissions with relatively high brake thermal efficiency. However, control of RCCI combustion is a complex task. Nonetheless, this challenge can be overcome with model-based control design (MBCD). In this work, a linear physics-based time-varying RCCI combustion model was developed and improved with an addition of a start-of-combustion (SOC) model. The model we developed, which is capable of real-time simulations, can predict the combustion phasing, heat-release, and cylinder pressure of an RCCI marine engine. The model showcases the trend-wise, high accuracy estimation of cumulative heat-release and cylinder pressure. Additionally, it is able to predict combustion phasing parameters with an error of less than 1% for control design.

Alkuperäiskieli	Englanti
Sivut	3170-3177
Sivumäärä	8
Julkaisu	IFAC-PapersOnLine
Vuosikerta	56
Numero	2
DOI - pysyväislinkit	https://doi.org/10.1016/j.ifacol.2023.10.1452
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFAC World Congress - Yokohama, Japani Kesto: 9 heinäk. 2023 → 14 heinäk. 2023 Konferenssinumero: 22

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

Pääsy asiakirjaan

10.1016/j.ifacol.2023.10.1452Lisenssi: CC BY-NC-ND

1-s2.0-S2405896323018608-mainFinal published version, 0,99 MBLisenssi: CC BY-NC-ND

CPT Zenger: Clean Propulsion Technologies
Zenger, K. (Vastuullinen tutkija)
01/02/2021 → 31/12/2023
Projekti: Business Finland: Strategic centres for science, technology and innovation (SHOK)
-: CPT Zenger
Zenger, K. (Vastuullinen tutkija), Nguyen Khac, H. (Projektin jäsen) & Modabberian, A. (Projektin jäsen)
01/02/2021 → 31/12/2023
Projekti: Business Finland: Strategic centres for science, technology and innovation (SHOK)

Siteeraa tätä

@article{a82448664eb64f238e2d00aa8c562087,

title = "Towards Real-Time Combustion Phase Estimation for linear RCCI Model-Predictive Control Design",

abstract = "Reactivity controlled compression ignition (RCCI) technology has gained in popularity due to its ability to achieve low level NOx and soot emissions with relatively high brake thermal efficiency. However, control of RCCI combustion is a complex task. Nonetheless, this challenge can be overcome with model-based control design (MBCD). In this work, a linear physics-based time-varying RCCI combustion model was developed and improved with an addition of a start-of-combustion (SOC) model. The model we developed, which is capable of real-time simulations, can predict the combustion phasing, heat-release, and cylinder pressure of an RCCI marine engine. The model showcases the trend-wise, high accuracy estimation of cumulative heat-release and cylinder pressure. Additionally, it is able to predict combustion phasing parameters with an error of less than 1% for control design.",

author = "Amin Modabberian and Xiaoguo Storm and Aneesh Vasudev and Kai Zenger and Jari Hyv{\"o}nen and Maciej Mikulski",

year = "2023",

doi = "10.1016/j.ifacol.2023.10.1452",

language = "English",

volume = "56",

pages = "3170--3177",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "2",

note = "IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

}

TY - JOUR

T1 - Towards Real-Time Combustion Phase Estimation for linear RCCI Model-Predictive Control Design

AU - Modabberian, Amin

AU - Storm, Xiaoguo

AU - Vasudev, Aneesh

AU - Zenger, Kai

AU - Hyvönen, Jari

AU - Mikulski, Maciej

N1 - Conference code: 22

PY - 2023

Y1 - 2023

N2 - Reactivity controlled compression ignition (RCCI) technology has gained in popularity due to its ability to achieve low level NOx and soot emissions with relatively high brake thermal efficiency. However, control of RCCI combustion is a complex task. Nonetheless, this challenge can be overcome with model-based control design (MBCD). In this work, a linear physics-based time-varying RCCI combustion model was developed and improved with an addition of a start-of-combustion (SOC) model. The model we developed, which is capable of real-time simulations, can predict the combustion phasing, heat-release, and cylinder pressure of an RCCI marine engine. The model showcases the trend-wise, high accuracy estimation of cumulative heat-release and cylinder pressure. Additionally, it is able to predict combustion phasing parameters with an error of less than 1% for control design.

AB - Reactivity controlled compression ignition (RCCI) technology has gained in popularity due to its ability to achieve low level NOx and soot emissions with relatively high brake thermal efficiency. However, control of RCCI combustion is a complex task. Nonetheless, this challenge can be overcome with model-based control design (MBCD). In this work, a linear physics-based time-varying RCCI combustion model was developed and improved with an addition of a start-of-combustion (SOC) model. The model we developed, which is capable of real-time simulations, can predict the combustion phasing, heat-release, and cylinder pressure of an RCCI marine engine. The model showcases the trend-wise, high accuracy estimation of cumulative heat-release and cylinder pressure. Additionally, it is able to predict combustion phasing parameters with an error of less than 1% for control design.

U2 - 10.1016/j.ifacol.2023.10.1452

DO - 10.1016/j.ifacol.2023.10.1452

M3 - Conference article

SN - 2405-8963

VL - 56

SP - 3170

EP - 3177

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 2

T2 - IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

Towards Real-Time Combustion Phase Estimation for linear RCCI Model-Predictive Control Design

Abstrakti

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Sormenjälki

Projektit

CPT Zenger: Clean Propulsion Technologies

-: CPT Zenger

Siteeraa tätä