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

Anthony Siming Chen, Jing Na, Guido Herrmann, Richard Burke, Chris Brace

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

2 Citations (Scopus)

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.

LanguageEnglish
Title of host publicationProceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
PublisherIEEE
Pages1074-1079
Number of pages6
Volume2018-March
ISBN (Electronic)9781509065738
DOIs
StatusPublished - 21 Mar 2018
Event9th International Conference on Modelling, Identification and Control, ICMIC 2017 - Kunming, China
Duration: 10 Jul 201712 Jul 2017

Conference

Conference9th International Conference on Modelling, Identification and Control, ICMIC 2017
CountryChina
CityKunming
Period10/07/1712/07/17

Fingerprint

Time-varying Parameters
Ignition
Internal combustion engines
Parameter estimation
Parameter Estimation
Engine
Controllers
Air
Controller
Engines
Gradient Descent Method
Fuel economy
Combustion chambers
Transient State
Exponential Convergence
Gradient Descent
Tracking Control
Simulation Software
Estimation Error
Leakage

Keywords

  • adaptive control
  • Air-fuel ratio control
  • GT-Power simulation
  • parameter estimation
  • spark ignition engines

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mechanics of Materials
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Biomedical Engineering
  • Computational Mechanics
  • Modelling and Simulation

Cite this

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 Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017 (Vol. 2018-March, pp. 1074-1079). IEEE. https://doi.org/10.1109/ICMIC.2017.8321616

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.

Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017. Vol. 2018-March IEEE, 2018. p. 1074-1079.

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

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 Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017. vol. 2018-March, IEEE, pp. 1074-1079, 9th International Conference on Modelling, Identification and Control, ICMIC 2017, Kunming, China, 10/07/17. https://doi.org/10.1109/ICMIC.2017.8321616
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 Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017. Vol. 2018-March. IEEE. 2018. p. 1074-1079 https://doi.org/10.1109/ICMIC.2017.8321616
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. Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017. Vol. 2018-March IEEE, 2018. pp. 1074-1079
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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.",
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