Hardware-in-the-loop simulation of robust gain-scheduling control of port-fuel-injection processes

Andrew White, Guoming Zhu, Jongeun Choi

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

In this paper, an event-based sampled discrete-time linear system representing a port-fuel-injection process based on wall-wetting dynamics is obtained and formulated 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. A hardware-in-the-loop (HIL) simulation is performed to validate the gain-scheduling controller on a mixed mean-value and crank-based engine model. The HIL simulation results show the effectiveness of the proposed gain-scheduling controller.

Original languageEnglish
Article number5682070
Pages (from-to)1433-1443
Number of pages11
JournalIEEE Transactions on Control Systems Technology
Volume19
Issue number6
DOIs
Publication statusPublished - 2011 Nov 1

Fingerprint

Fuel injection
Scheduling
Engines
Hardware
Controllers
Fuel systems
Convex optimization
Linear matrix inequalities
Linear systems
Wetting
Sensors
Temperature

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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abstract = "In this paper, an event-based sampled discrete-time linear system representing a port-fuel-injection process based on wall-wetting dynamics is obtained and formulated 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. A hardware-in-the-loop (HIL) simulation is performed to validate the gain-scheduling controller on a mixed mean-value and crank-based engine model. The HIL simulation results show the effectiveness of the proposed gain-scheduling controller.",
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Hardware-in-the-loop simulation of robust gain-scheduling control of port-fuel-injection processes. / White, Andrew; Zhu, Guoming; Choi, Jongeun.

In: IEEE Transactions on Control Systems Technology, Vol. 19, No. 6, 5682070, 01.11.2011, p. 1433-1443.

Research output: Contribution to journalArticle

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