Hybrid model predictive control of a variable displacement engine mode management

Pawel Majecki, Michael J. Grimble, Ibrahim Haskara, Chen-Fang Chang

Research output: Contribution to journalArticlepeer-review

Abstract

The use of Hybrid Predictive Control for model-based propulsion control applications is considered. A Variable Displacement Engine (VDE) control problem is considered, involving both continuous-time dynamics and discrete control actions in the form of activating/deactivating the engine cylinders. Hybrid Model Predictive Control is one of the most successful hybrid control schemes and builds upon predictive control methods developed for engine torque management. The ways in which preview information can be used to improve controller performance are considered, as well as simplifications to the hybrid control algorithms to reduce the computational burden. Several hybrid control design approaches are compared using a simulation of a VDE engine. The aim is to optimize the total system behaviour to provide good torque tracking, reduced fuel consumption and smooth cylinder switching. The main contribution is the demonstration that hybrid predictive control can provide a practical solution to an engine control application with the potential to enhance performance and with options to reduce complexity.
Original languageEnglish
Pages (from-to)14047-14054
Number of pages8
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
Publication statusPublished - 30 Nov 2020

Keywords

  • variable displacement engine
  • hybrid systems
  • predictive control
  • nonlinear control

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