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Nonlinear estimation of variables for heat release calculation using a gradient method

Yin, Lianhao LU ; Turesson, Gabriel LU ; Johansson, Rolf LU and Tunestål, Per LU (2019) In Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME 141(6).
Abstract

Advanced combustion such as the partially premixed combustion (PPC) is characterized by high energy efficiency. However, they are sensitive to the inlet condition and injection of a combustion engine. Therefore, it is essential to use combustion feedback. The accuracy of the feedback variables, derived from the cylinder pressure signal, is crucial for effective combustion feedback control. This paper proposes a nonlinear least-squares regression method to estimate the pressure offsets and variable polytropic exponent in heat release calculation automatically. The combustion feedback variables derived from the auto-tuned heat-release rate were applied to a heavy-duty compression ignition (CI) engine burning with gasoline fuel. [DOI:... (More)

Advanced combustion such as the partially premixed combustion (PPC) is characterized by high energy efficiency. However, they are sensitive to the inlet condition and injection of a combustion engine. Therefore, it is essential to use combustion feedback. The accuracy of the feedback variables, derived from the cylinder pressure signal, is crucial for effective combustion feedback control. This paper proposes a nonlinear least-squares regression method to estimate the pressure offsets and variable polytropic exponent in heat release calculation automatically. The combustion feedback variables derived from the auto-tuned heat-release rate were applied to a heavy-duty compression ignition (CI) engine burning with gasoline fuel. [DOI: 10.1115/1.4042877]

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
keywords
Barzilai-borwein step, Cylinder pressure, Feedback, Least-squares estimation, Nonlinear
in
Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
volume
141
issue
6
external identifiers
  • scopus:85062857621
ISSN
0022-0434
DOI
10.1115/1.4042877
language
English
LU publication?
yes
id
23e8c86f-55a4-46e9-8371-7557086a1312
date added to LUP
2019-03-21 08:40:13
date last changed
2019-03-22 02:16:36
@article{23e8c86f-55a4-46e9-8371-7557086a1312,
  abstract     = {<p>Advanced combustion such as the partially premixed combustion (PPC) is characterized by high energy efficiency. However, they are sensitive to the inlet condition and injection of a combustion engine. Therefore, it is essential to use combustion feedback. The accuracy of the feedback variables, derived from the cylinder pressure signal, is crucial for effective combustion feedback control. This paper proposes a nonlinear least-squares regression method to estimate the pressure offsets and variable polytropic exponent in heat release calculation automatically. The combustion feedback variables derived from the auto-tuned heat-release rate were applied to a heavy-duty compression ignition (CI) engine burning with gasoline fuel. [DOI: 10.1115/1.4042877]</p>},
  articleno    = {061011},
  author       = {Yin, Lianhao and Turesson, Gabriel and Johansson, Rolf and Tunestål, Per},
  issn         = {0022-0434},
  keyword      = {Barzilai-borwein step,Cylinder pressure,Feedback,Least-squares estimation,Nonlinear},
  language     = {eng},
  number       = {6},
  series       = {Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME},
  title        = {Nonlinear estimation of variables for heat release calculation using a gradient method},
  url          = {http://dx.doi.org/10.1115/1.4042877},
  volume       = {141},
  year         = {2019},
}