TY - JOUR

T1 - Combined pole assignment and mean value engine model multivariable decoupling control

AU - Titi, Sufian

AU - Taylor, C. James

PY - 2015

Y1 - 2015

N2 - This article considers a combined pole assignment and multivariable decoupling control algorithm using discrete-time, non-minimum state space (NMSS) methods. In contrast to earlier research based on low-order linear models, the approach is applied to a nonlinear mean value internal combustion engine model with three control inputs, namely the throttle plate angle, injected fuel mass flow and spark advance angle. The controlled outputs are the air mass flow pressure, crank shaft speed and Air-Fuel Ratio (AFR). It is well known that, for example, regulating the AFR to the stoichiometric value (i.e. 14.7) leads to a desirable balance between power output and fuel consumption, while reducing pollutant emissions. In this regard, the linear NMSS approach is straightforward to design for a range of performance requirements and yields comparable results to a more complex benchmark Sliding Mode Control (SMC) system. Furthermore, it retains a similar implementation structure to current production units, which are typically based on conventional Proportional-Integral (PI) compensation. The robustness to changing operating levels and disturbances, including an air leakage signal, are evaluated in simulation.

AB - This article considers a combined pole assignment and multivariable decoupling control algorithm using discrete-time, non-minimum state space (NMSS) methods. In contrast to earlier research based on low-order linear models, the approach is applied to a nonlinear mean value internal combustion engine model with three control inputs, namely the throttle plate angle, injected fuel mass flow and spark advance angle. The controlled outputs are the air mass flow pressure, crank shaft speed and Air-Fuel Ratio (AFR). It is well known that, for example, regulating the AFR to the stoichiometric value (i.e. 14.7) leads to a desirable balance between power output and fuel consumption, while reducing pollutant emissions. In this regard, the linear NMSS approach is straightforward to design for a range of performance requirements and yields comparable results to a more complex benchmark Sliding Mode Control (SMC) system. Furthermore, it retains a similar implementation structure to current production units, which are typically based on conventional Proportional-Integral (PI) compensation. The robustness to changing operating levels and disturbances, including an air leakage signal, are evaluated in simulation.

KW - pole assignment

KW - mean value engine model

KW - multivariable decoupling control

KW - engine control

KW - internal combustion engine

KW - MVEM

KW - non minimal state space

KW - sliding mode control

U2 - 10.1177/0142331214529151

DO - 10.1177/0142331214529151

M3 - Journal article

VL - 37

SP - 40

EP - 49

JO - Transactions of the Institute of Measurement and Control

JF - Transactions of the Institute of Measurement and Control

SN - 1477-0369

IS - 1

ER -