MIMO Model Predictive Control for Integral Gas Engines under Switching Disturbances

Daniel Alberer; Martin Ranzmaier; Luigi del Re; Matthias Huschenbett

MIMO Model Predictive Control for Integral Gas Engines under Switching Disturbances

Daniel Alberer, Martin Ranzmaier, Luigi del Re, Matthias Huschenbett

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

The ambition of NOx emission reduction on legacy gas engines for compressor stations leads to focusing not only on improvement of mechanical components but also on enhancing the control. The engine shows a strong coupling and furthermore the compressor clearances are switching fast during transients. Due to the engine inertia the switching is filtered, hence the nonlinear jump parameter system is approximated by linear dynamics. A MIMO linear explicit 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 steady state comparison showed less misfires by MPC while approaching the lean combustion limit and the tracking of the fuel/air ratio during the transients was improved up to 80%.

Original language	English
Title of host publication	CCA 2008
Number of pages	6
Publication status	Published - 2008

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

@inproceedings{c6aeca690ffb4a2284d7ca2c86069b52,

title = "MIMO Model Predictive Control for Integral Gas Engines under Switching Disturbances",

abstract = "The ambition of NOx emission reduction on legacy gas engines for compressor stations leads to focusing not only on improvement of mechanical components but also on enhancing the control. The engine shows a strong coupling and furthermore the compressor clearances are switching fast during transients. Due to the engine inertia the switching is filtered, hence the nonlinear jump parameter system is approximated by linear dynamics. A MIMO linear explicit 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 steady state comparison showed less misfires by MPC while approaching the lean combustion limit and the tracking of the fuel/air ratio during the transients was improved up to 80\%.",

author = "Daniel Alberer and Martin Ranzmaier and \{del Re\}, Luigi and Matthias Huschenbett",

year = "2008",

language = "English",

booktitle = "CCA 2008",

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TY - GEN

T1 - MIMO Model Predictive Control for Integral Gas Engines under Switching Disturbances

AU - Alberer, Daniel

AU - Ranzmaier, Martin

AU - del Re, Luigi

AU - Huschenbett, Matthias

PY - 2008

Y1 - 2008

N2 - The ambition of NOx emission reduction on legacy gas engines for compressor stations leads to focusing not only on improvement of mechanical components but also on enhancing the control. The engine shows a strong coupling and furthermore the compressor clearances are switching fast during transients. Due to the engine inertia the switching is filtered, hence the nonlinear jump parameter system is approximated by linear dynamics. A MIMO linear explicit 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 steady state comparison showed less misfires by MPC while approaching the lean combustion limit and the tracking of the fuel/air ratio during the transients was improved up to 80%.

AB - The ambition of NOx emission reduction on legacy gas engines for compressor stations leads to focusing not only on improvement of mechanical components but also on enhancing the control. The engine shows a strong coupling and furthermore the compressor clearances are switching fast during transients. Due to the engine inertia the switching is filtered, hence the nonlinear jump parameter system is approximated by linear dynamics. A MIMO linear explicit 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 steady state comparison showed less misfires by MPC while approaching the lean combustion limit and the tracking of the fuel/air ratio during the transients was improved up to 80%.

M3 - Conference proceedings

BT - CCA 2008

ER -