A Modelling Framework for Nonlinear Control

A Modelling Framework for Nonlinear Control. Air Control in Turbocharged Diesel Engines: Modelling, Identification and Calibration

Air Control in Turbocharged Diesel Engines: Modelling, Identification and Calibration. Seminar of two hours for the University of Science & Technology Beijing - USTB.

Abstract

This talk presents an end-to-end route to air-path control design for turbocharged diesel engines, targeting simultaneous reduction of nitrogen oxides and particulate matter while preserving driver torque demand. After motivating combustion and emission trade-offs, I contrast two complementary models: a physics-inspired representation assembled from maps and sub-systems, and a data-driven fuzzy model identified from driving cycles. The latter is then embedded in a simulation environment to calibrate an industrial controller, with an operator-friendly interface that automates parameter optimisation. Results on European driving cycles show close tracking of the intake air mass flow to its reference and highlight where adaptive strategies can further improve robustness. The talk concludes with lessons learnt on model fidelity versus development time, and with a roadmap towards full engine validation and on-engine control implementation. See slides on emission trade-offs, fuzzy identification, controller strategy, calibration workflow, and final results.

Keywords

Air-path control, turbocharged diesel engines, data-driven modelling, fuzzy modelling and system identification, controller calibration, simulation-based optimisation, emission reduction.

Main Points

Air-path control
Turbocharged diesel engines
Data-driven modelling
Fuzzy modelling and system identification
Controller calibration
Simulation-based optimisation
Emission reduction.

Downloads: Talk Slide Files

Seminar Slides (PDF file, 16 MB).

References

Simani, S., Bonfè, M., Fuzzy Modelling and Control of the Air System of a Diesel Engine, Advances in Fuzzy Systems, 2009, 450259, 14 pages, 2009.
Simani, Silvio. Residual generator fuzzy identification for automotive diesel engine fault diagnosis. International Journal of Applied Mathematics and Computer Science 23.2 (2013): 419-438.
Introduction paper: Control of diesel engines, by Guzzella, L.; Amstutz, A., IEEE Control Systems Magazine, Volume 18, Issue 5, Oct. 1998 Pages: 53 - 71.
The book: Introduction to Modelling and Control of Internal Combustion Engine Systems by Lino Guzzella and Christopher H. Onder. Springer, August 2004. ISBN-10: 354022274X. ISBN-13: 978-3540222743.
Modelling and Control of Turbocharged SI and DI Engines, by L. Eriksson. In: Oil and Gas Science and Technology - Rev. IFP. DOI: 10.2516/ogst:2007042.

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