Adaptive Nonlinear Model Predictive Control of an Engine Air Path

  • Florian Meier (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

It is well known that high performing control based on a nominal model may underperform when system parameters change e.g. due to wear. Adaptive controls are a well established way to tackle this problem, but their usage is not trivial, especially when they are used for complex nonlinear systems with constraints like the air path of a combustion engine. In particular, excitation can be insufficient for the update of a model with many parameters. Against this background, we extend and test an approach based on directional forgetting on a production engine, showing that this approach is viable for practical applications.
Period24 Aug 2021
Event title6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, E-COSM 2021
Event typeConference
LocationAustriaShow on map

Fields of science

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

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management