Gasoline Controlled Auto-Ignition with Learning-Based Uncertainty Using Stochastic Model Predictive Control

Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes, vol. 31, pp. 6328–6335

Abstract

The internal combustion engine faces a severe energy conservation and emission reduction challenge. In this regard, low-temperature combustion technology is a profitable solution, allowing for pollutant emission reduction while improving engine efficiency. However, the process is complex, and the cycles are mutually coupled, making it a huge challenge to stabilize the entire process behavior. Also, the model mismatch and the inherent stochasticity of the process bring considerable difficulties to the application of control technology. In this work, we propose a deep learning-based generative model to learn the distribution of system uncertainties. The uncertainty information is considered in the model predictive control (MPC) strategy design. We adopt the disturbance-affine stochastic MPC (sMPC) and transform the chance-constrained MPC problem into some tractable optimization problems. The results show better closed-loop performance with smaller output variance, given the prior knowledge of uncertainty realization from the proposed generative model.

Authors 4

1. Xu Chen Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Department of Mechanical Engineering,Aachen,Germany,52074

2. Maximilian Basler Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Department of Mechanical Engineering,Aachen,Germany,52074

3. Maike Stemmler Aachen Institute of Automatic Control (IRT)

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Department of Mechanical Engineering,Aachen,Germany,52074

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

   RWTH Aachen University

   Affiliation as printed

   Institute of Automatic Control, RWTH Aachen University,Department of Mechanical Engineering,Aachen,Germany,52074