Hybrid Model Predictive Control of Exhaust Recompression HCCI
(2014) In Asian Journal of Control 16(2). p.370-381- Abstract
- Homogeneous charge compression ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the combustion phasing in an HCCI engine based on a hybrid model formulation composed of several linearizations of a physics-based nonlinear model. The explicit representation of the MPC was implemented experimentally and the performance during set point changes was compared to that of a switched state feedback controller. The hybrid MPC produced... (More)
- Homogeneous charge compression ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the combustion phasing in an HCCI engine based on a hybrid model formulation composed of several linearizations of a physics-based nonlinear model. The explicit representation of the MPC was implemented experimentally and the performance during set point changes was compared to that of a switched state feedback controller. The hybrid MPC produced smoother transients without overshoot when the set point change traversed several linearizations. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3959665
- author
- Widd, Anders LU ; Liao, Hsien-Hsin ; Gerdes, J. Christian ; Tunestål, Per LU and Johansson, Rolf LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Asian Journal of Control
- volume
- 16
- issue
- 2
- pages
- 370 - 381
- publisher
- Chinese Automatic Control Society
- external identifiers
-
- wos:000332412100006
- scopus:84895923104
- ISSN
- 1934-6093
- DOI
- 10.1002/asjc.725
- project
- Competence Centre for Combustion Processes
- language
- English
- LU publication?
- yes
- id
- 8f4d821d-51f2-4eb6-b9ca-00340e25ef4e (old id 3959665)
- date added to LUP
- 2016-04-01 11:15:57
- date last changed
- 2024-06-03 11:15:18
@article{8f4d821d-51f2-4eb6-b9ca-00340e25ef4e, abstract = {{Homogeneous charge compression ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the combustion phasing in an HCCI engine based on a hybrid model formulation composed of several linearizations of a physics-based nonlinear model. The explicit representation of the MPC was implemented experimentally and the performance during set point changes was compared to that of a switched state feedback controller. The hybrid MPC produced smoother transients without overshoot when the set point change traversed several linearizations.}}, author = {{Widd, Anders and Liao, Hsien-Hsin and Gerdes, J. Christian and Tunestål, Per and Johansson, Rolf}}, issn = {{1934-6093}}, language = {{eng}}, number = {{2}}, pages = {{370--381}}, publisher = {{Chinese Automatic Control Society}}, series = {{Asian Journal of Control}}, title = {{Hybrid Model Predictive Control of Exhaust Recompression HCCI}}, url = {{http://dx.doi.org/10.1002/asjc.725}}, doi = {{10.1002/asjc.725}}, volume = {{16}}, year = {{2014}}, }