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Modeling and control of gasoline PPC engine approaching high efficiency with constraints

Yang, Tianhao; Yin, Lianhao LU ; Long, Wuqiang; Tunestål, Per LU and Tian, Hua (2018) In IFAC-PapersOnLine 51(31). p.442-447
Abstract

Gasoline-fueled Partially Premixed Combustion is an advanced combustion concept approaching high efficiency as well as low emissions. The most challenging task on controlling a gasoline PPC engine is to regulate the maximum pressure rise rate to reduce engine noise and durability problem. A trade-off relationship between pressure rise rate and soot emissions is observed as a function of pilot injection event. In this paper, a control-oriented model is developed to predict in-cylinder pressure and engine outputs through fuel injection events. Thereafter, two controllers structured with PI and MPC are designed and evaluated separately. Simulation results show that, both controllers satisfy the objective of achieving desired engine load... (More)

Gasoline-fueled Partially Premixed Combustion is an advanced combustion concept approaching high efficiency as well as low emissions. The most challenging task on controlling a gasoline PPC engine is to regulate the maximum pressure rise rate to reduce engine noise and durability problem. A trade-off relationship between pressure rise rate and soot emissions is observed as a function of pilot injection event. In this paper, a control-oriented model is developed to predict in-cylinder pressure and engine outputs through fuel injection events. Thereafter, two controllers structured with PI and MPC are designed and evaluated separately. Simulation results show that, both controllers satisfy the objective of achieving desired engine load and combustion phasing, with the constraints of pressure rise rate and soot emissions simultaneously. MPC controller produces a smoother transient move with less overshoot, comparing with PI controller with a fast response.

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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
subject
keywords
control-oriented model, model predictive control, Partially Premixed Combustion, PI control
in
IFAC-PapersOnLine
volume
51
issue
31
pages
6 pages
publisher
IFAC Secretariat
external identifiers
  • scopus:85056170798
ISSN
2405-8963
DOI
10.1016/j.ifacol.2018.10.099
language
English
LU publication?
yes
id
ed60bf87-2049-4086-914b-8c33b2c72504
date added to LUP
2018-11-23 09:52:36
date last changed
2019-02-20 11:37:24
@article{ed60bf87-2049-4086-914b-8c33b2c72504,
  abstract     = {<p>Gasoline-fueled Partially Premixed Combustion is an advanced combustion concept approaching high efficiency as well as low emissions. The most challenging task on controlling a gasoline PPC engine is to regulate the maximum pressure rise rate to reduce engine noise and durability problem. A trade-off relationship between pressure rise rate and soot emissions is observed as a function of pilot injection event. In this paper, a control-oriented model is developed to predict in-cylinder pressure and engine outputs through fuel injection events. Thereafter, two controllers structured with PI and MPC are designed and evaluated separately. Simulation results show that, both controllers satisfy the objective of achieving desired engine load and combustion phasing, with the constraints of pressure rise rate and soot emissions simultaneously. MPC controller produces a smoother transient move with less overshoot, comparing with PI controller with a fast response.</p>},
  author       = {Yang, Tianhao and Yin, Lianhao and Long, Wuqiang and Tunestål, Per and Tian, Hua},
  issn         = {2405-8963},
  keyword      = {control-oriented model,model predictive control,Partially Premixed Combustion,PI control},
  language     = {eng},
  number       = {31},
  pages        = {442--447},
  publisher    = {IFAC Secretariat},
  series       = {IFAC-PapersOnLine},
  title        = {Modeling and control of gasoline PPC engine approaching high efficiency with constraints},
  url          = {http://dx.doi.org/10.1016/j.ifacol.2018.10.099},
  volume       = {51},
  year         = {2018},
}