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Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics

Johansson, Rolf LU orcid ; Widd, Anders LU and Tunestål, Per LU (2009) 1st International Workshop on Networked Embedded and Control System Technologies/European and Russian R&D Cooperation Workshop p.31-44
Abstract
The Homogeneous Charge Compression Ignition (HCCI) principle holds promise to increase efficiency and to reduce emissions from internal combustion engines. As HCCI combustion lacks direct ignition timing control and auto-ignition depends on the operating condition, control of auto-ignition is necessary. Since auto-ignition of a homogeneous mixture is very sensitive to operating conditions, a fast combustion phasing control is necessary for reliable operation. To this purpose, HCCI modeling and model-based control with experimental validation were studied. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion... (More)
The Homogeneous Charge Compression Ignition (HCCI) principle holds promise to increase efficiency and to reduce emissions from internal combustion engines. As HCCI combustion lacks direct ignition timing control and auto-ignition depends on the operating condition, control of auto-ignition is necessary. Since auto-ignition of a homogeneous mixture is very sensitive to operating conditions, a fast combustion phasing control is necessary for reliable operation. To this purpose, HCCI modeling and model-based control with experimental validation were studied. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion in comparison. The controllers were based on linearizations of a previously presented physical, nonlinear, model of HCCI including cylinder wall temperature dynamics. The control signals were the inlet air temperature and the inlet valve closing. A system for fast thermal management was installed and controlled using mid-ranging control. The resulting control performance was experimentally evaluated in terms of response time and steady-state output variance. For a given operating point, a comparable decrease in steady-state output variance was obtained either by introducing a disturbance model or by changing linearization point. The robustness towards disturbances was investigated as well as the effects of varying the prediction and control horizons. Increasing the horizons had a very limited effect on the closed-loop performance while increasing the computational demands substantially. As shown in the paper, modeling constitutes a necessary element for embedded networked control design applied to HCCI combustion engine design. (Less)
Please use this url to cite or link to this publication:
author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Nester 2009: Networked Embedded and Control System Technologies: European and Russian R&D Cooperation, Proceedings
pages
31 - 44
publisher
Institute for Systems and Technologies of Information, Control and Communication
conference name
1st International Workshop on Networked Embedded and Control System Technologies/European and Russian R&D Cooperation Workshop
conference location
Milan, Italy
conference dates
2009-07-04 - 2009-07-05
external identifiers
  • wos:000281699700005
  • scopus:74549175906
project
Competence Centre for Combustion Processes
language
English
LU publication?
yes
id
f8d859bf-91a2-4298-8b42-8d8551721882 (old id 1697982)
date added to LUP
2016-04-04 10:26:13
date last changed
2022-01-29 20:20:42
@inproceedings{f8d859bf-91a2-4298-8b42-8d8551721882,
  abstract     = {{The Homogeneous Charge Compression Ignition (HCCI) principle holds promise to increase efficiency and to reduce emissions from internal combustion engines. As HCCI combustion lacks direct ignition timing control and auto-ignition depends on the operating condition, control of auto-ignition is necessary. Since auto-ignition of a homogeneous mixture is very sensitive to operating conditions, a fast combustion phasing control is necessary for reliable operation. To this purpose, HCCI modeling and model-based control with experimental validation were studied. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion in comparison. The controllers were based on linearizations of a previously presented physical, nonlinear, model of HCCI including cylinder wall temperature dynamics. The control signals were the inlet air temperature and the inlet valve closing. A system for fast thermal management was installed and controlled using mid-ranging control. The resulting control performance was experimentally evaluated in terms of response time and steady-state output variance. For a given operating point, a comparable decrease in steady-state output variance was obtained either by introducing a disturbance model or by changing linearization point. The robustness towards disturbances was investigated as well as the effects of varying the prediction and control horizons. Increasing the horizons had a very limited effect on the closed-loop performance while increasing the computational demands substantially. As shown in the paper, modeling constitutes a necessary element for embedded networked control design applied to HCCI combustion engine design.}},
  author       = {{Johansson, Rolf and Widd, Anders and Tunestål, Per}},
  booktitle    = {{Nester 2009: Networked Embedded and Control System Technologies: European and Russian R&D Cooperation, Proceedings}},
  language     = {{eng}},
  pages        = {{31--44}},
  publisher    = {{Institute for Systems and Technologies of Information, Control and Communication}},
  title        = {{Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics}},
  year         = {{2009}},
}