Gain-scheduling control of port-fuel-injection processes

Andrew White, Jongeun Choi, Ryozo Nagamune, Guoming Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we first obtain an event-based sampled discrete-time linear system to represent a port-fuel-injection process based on wall-wetting dynamics, and formulate it as a linear parameter varying (LPV) system. The system parameters used in the engine fuel system model are engine speed, temperature, and load. These system parameters can be measured in real-time through physical or virtual sensors. A gain-scheduling controller for the obtained LPV system is then designed based on the numerically efficient convex optimization or linear matrix inequality (LMI) technique. The simulation results show the effectiveness of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
PublisherIEEE Computer Society
Pages1453-1458
Number of pages6
ISBN (Print)9781424474264
DOIs
Publication statusPublished - 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Gain-scheduling control of port-fuel-injection processes'. Together they form a unique fingerprint.

Cite this