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MIMO Model Predictive Control for Integral Gas Engines

  • Jakob Ängeby
  • Matthias Huschenbett
  • Daniel Alberer
Part of the Lecture Notes in Control and Information Sciences book series (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.

Keywords

Engine Speed Model Predictive Control Load Step Prediction Horizon Single Input Single Output 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2010

Authors and Affiliations

  • Jakob Ängeby
    • 1
  • Matthias Huschenbett
    • 1
  • Daniel Alberer
    • 2
  1. 1.Hoerbiger Engine Solutions 
  2. 2.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzAustria

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