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Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation. / Chen, Anthony Siming; Na, Jing; Herrmann, Guido; Burke, Richard; Brace, Chris.

2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017): Proceedings of a meeting held 10-12 July 2017, Kunming, China. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1074-1079.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Chen, AS, Na, J, Herrmann, G, Burke, R & Brace, C 2018, Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation. in 2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017): Proceedings of a meeting held 10-12 July 2017, Kunming, China. Institute of Electrical and Electronics Engineers (IEEE), pp. 1074-1079. https://doi.org/10.1109/ICMIC.2017.8321616

APA

Chen, A. S., Na, J., Herrmann, G., Burke, R., & Brace, C. (2018). Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation. In 2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017): Proceedings of a meeting held 10-12 July 2017, Kunming, China (pp. 1074-1079). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICMIC.2017.8321616

Vancouver

Chen AS, Na J, Herrmann G, Burke R, Brace C. Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation. In 2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017): Proceedings of a meeting held 10-12 July 2017, Kunming, China. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 1074-1079 https://doi.org/10.1109/ICMIC.2017.8321616

Author

Chen, Anthony Siming ; Na, Jing ; Herrmann, Guido ; Burke, Richard ; Brace, Chris. / Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation. 2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017): Proceedings of a meeting held 10-12 July 2017, Kunming, China. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 1074-1079

Bibtex

@inproceedings{e9203c275da343418b37c473bd7cccdb,
title = "Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation",
abstract = "This paper presents a novel adaptive controller of air-fuel ratio (AFR) in spark ignition (SI) engines. The controller robustly estimates unknown time-varying engine parameters and thus improves both the transient and steady-state performance. The objective is to regulate the AFR in the combustion chamber around the stoichiometric value by manipulating the injected fuel mass flow rate so as to improve fuel economy and to reduce emissions. The AFR regulation problem is first reformulated into a tracking control problem of the fuel mass flow. This simplifies the control synthesis, i.e. the number of parameters to be online updated can be reduced. Then a representation of the parameter estimation error is derived by using auxiliary filter operations, and used as a new leakage term in the adaptive law. In this case, exponential convergence of the AFR error and the estimation of the time-varying parameters can be proved simultaneously. The proposed controller is compared with a generic adaptive controller using the gradient descent method based on a well-calibrated mean value engine model (MVEM). Finally, the proposed controller is also validated with a commercial engine simulation software, GT-Power, demonstrating better results than for the gradient descent approach.",
keywords = "Air-fuel ratio control, spark ignition engines, adaptive control, parameter estimation, GT-Power simulation",
author = "Chen, {Anthony Siming} and Jing Na and Guido Herrmann and Richard Burke and Chris Brace",
year = "2018",
month = "5",
doi = "10.1109/ICMIC.2017.8321616",
language = "English",
isbn = "9781509065769",
pages = "1074--1079",
booktitle = "2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

AU - Chen, Anthony Siming

AU - Na, Jing

AU - Herrmann, Guido

AU - Burke, Richard

AU - Brace, Chris

PY - 2018/5

Y1 - 2018/5

N2 - This paper presents a novel adaptive controller of air-fuel ratio (AFR) in spark ignition (SI) engines. The controller robustly estimates unknown time-varying engine parameters and thus improves both the transient and steady-state performance. The objective is to regulate the AFR in the combustion chamber around the stoichiometric value by manipulating the injected fuel mass flow rate so as to improve fuel economy and to reduce emissions. The AFR regulation problem is first reformulated into a tracking control problem of the fuel mass flow. This simplifies the control synthesis, i.e. the number of parameters to be online updated can be reduced. Then a representation of the parameter estimation error is derived by using auxiliary filter operations, and used as a new leakage term in the adaptive law. In this case, exponential convergence of the AFR error and the estimation of the time-varying parameters can be proved simultaneously. The proposed controller is compared with a generic adaptive controller using the gradient descent method based on a well-calibrated mean value engine model (MVEM). Finally, the proposed controller is also validated with a commercial engine simulation software, GT-Power, demonstrating better results than for the gradient descent approach.

AB - This paper presents a novel adaptive controller of air-fuel ratio (AFR) in spark ignition (SI) engines. The controller robustly estimates unknown time-varying engine parameters and thus improves both the transient and steady-state performance. The objective is to regulate the AFR in the combustion chamber around the stoichiometric value by manipulating the injected fuel mass flow rate so as to improve fuel economy and to reduce emissions. The AFR regulation problem is first reformulated into a tracking control problem of the fuel mass flow. This simplifies the control synthesis, i.e. the number of parameters to be online updated can be reduced. Then a representation of the parameter estimation error is derived by using auxiliary filter operations, and used as a new leakage term in the adaptive law. In this case, exponential convergence of the AFR error and the estimation of the time-varying parameters can be proved simultaneously. The proposed controller is compared with a generic adaptive controller using the gradient descent method based on a well-calibrated mean value engine model (MVEM). Finally, the proposed controller is also validated with a commercial engine simulation software, GT-Power, demonstrating better results than for the gradient descent approach.

KW - Air-fuel ratio control

KW - spark ignition engines

KW - adaptive control

KW - parameter estimation

KW - GT-Power simulation

U2 - 10.1109/ICMIC.2017.8321616

DO - 10.1109/ICMIC.2017.8321616

M3 - Conference contribution

SN - 9781509065769

SP - 1074

EP - 1079

BT - 2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -