E-COSM 2021 Paper Abstract

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Paper MoAT1.5

Suzuki, Kunihiko (Hitachi Astemo, Ltd.)

Feasibility Study on Model Predictive Control for an EGR-Air Path System in a Turbocharged SI Engine

Scheduled for presentation during the Invited session "Advanced model-based control of combustion engine" (MoAT1), Monday, August 23, 2021, 15:20−15:40, Room T1

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Engine Control, Engine Modeling, Powertrain Control

Abstract

The purpose of this study is to develop model predictive control (MPC), which addresses MIMO system optimization control problem under constrains while providing efficient engine calibration process, and to be applied to an intake system control in a turbocharged spark ignition engine. Extended Kalman filter, which was based on an air flow sensor and a pressure sensor, was employed to achieve robustness against actual variations and MPC plant model reduction. The control methodology was demonstrated in MILS through its application to torque and EGR cooperative control using throttle and EGR valves. The results show the control outputs are in good agreement with reference trajectories under various transient operations without large amount of calibration efforts associated with the target valve position.

 

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