Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines

IFAC-PapersOnLine, vol. 55, pp. 19–26

Abstract

The high thermal efciency and reliability of the compression-ignition engine makes it the first choice for many applications. For this to continue, a reduction of the pollutant emissions is needed. One solution is the use of Machine Learning (ML) and Model Predictive Control (MPC) to minimize emissions and fuel consumption, without adding substantial computational cost to the engine controller. ML is developed in this paper for both modeling engine performance and emissions and for imitating the behaviour of a Linear Parameter Varying (LPV) MPC. Using a support vector machine-based linear parameter varying model of the engine performance and emissions, a model predictive controller is implemented for a 4.5 L Cummins diesel engine. This online optimized MPC solution offers advantages in minimizing the NOx emissions and fuel consumption compared to the baseline feedforward production controller. To reduce the computational cost of this MPC, a deep learning scheme is designed to mimic the behavior of the developed controller. The performance in reducing NOx emissions at a constant load by the imitative controller is similar to that of the online optimized MPC, however, the imitative controller requires 50 times less computation time when compared to that of the online MPC optimization.

Authors 9

1. Armin Norouzi

   University of Alberta

   Affiliation as printed

   Department of Mechanical Engineering, University of Alberta, Edmonton, Canada

2. Saeid Shahpouri

   University of Alberta

   Affiliation as printed

   Department of Mechanical Engineering, University of Alberta, Edmonton, Canada

3. David C. Gordon

   University of Alberta

   Affiliation as printed

   Department of Mechanical Engineering, University of Alberta, Edmonton, Canada

4. Alexander Winkler Aachen

   RWTH Aachen University

   Affiliation as printed

   Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Aachen, Germany

5. Eugen Nuss Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University, Germany

6. Dirk Abel Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University, Germany

7. Jakob Andert Aachen

   RWTH Aachen University

   Affiliation as printed

   Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Aachen, Germany

8. Mahdi Shahbakhti

   University of Alberta

   Affiliation as printed

   Department of Mechanical Engineering, University of Alberta, Edmonton, Canada

9. Charles Robert Koch

   University of Alberta

   Affiliation as printed

   Department of Mechanical Engineering, University of Alberta, Edmonton, Canada