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MIMO Model Predictive Control for Integral Gas Engines

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Automotive Model Predictive Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 402))

Abstract

The legal requirement of NO x emission reduction from legacy gas engines used in compressor stations asks for an improved engine control. A gas engine is a MIMO system with strong coupling, the inputs and outputs being limited by physical constraints and customer requirements. The engines drive compressors that change the load at time instants known in advance and the load change pattern can be modeled. A MIMO online linear model predictive controller (MPC) with the objective of keeping the fuel/air ratio and the engine speed constant was applied and compared to the standard SISO PID controls. The tracking of the fuel/air ratio during the transients was improved up to 80% when using the MPC approach which is sufficient to meet the up-coming emission legislation.

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References

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Author information

Authors and Affiliations

  1. Hoerbiger Engine Solutions,  

    Jakob Ängeby & Matthias Huschenbett

  2. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Austria

    Daniel Alberer

Authors
  1. Jakob Ängeby
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  2. Matthias Huschenbett
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  3. Daniel Alberer
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Editor information

Editors and Affiliations

  1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Altenbergerstr. 69, 4040, Linz

    Luigi del Re

  2. Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70550, Stuttgart

    Frank Allgöwer

  3. Facoltà di Ingegneria, Università del Sannio in Benevento, Corso Garibaldi 107, 82100, Benevento

    Luigi Glielmo

  4. Departamento de Máquinas y Motores Térmicos, Universidad Politécnica de Valencia (UPV), Camino de Vera, s/n., 46022, Valencia, (Spain)

    Carlos Guardiola

  5. Ford Research and Adv. Engineering, Ford Motor Company, Technical Leader, Powertrain Control R&A, 2101 Village Road Dearborn, 48124, MI

    Ilya Kolmanovsky

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© 2010 Springer London

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Ängeby, J., Huschenbett, M., Alberer, D. (2010). MIMO Model Predictive Control for Integral Gas Engines. In: del Re, L., Allgöwer, F., Glielmo, L., Guardiola, C., Kolmanovsky, I. (eds) Automotive Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 402. Springer, London. https://doi.org/10.1007/978-1-84996-071-7_16

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  • DOI: https://doi.org/10.1007/978-1-84996-071-7_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-070-0

  • Online ISBN: 978-1-84996-071-7

  • eBook Packages: EngineeringEngineering (R0)

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