A predictive strategy to control time-varying delay systems: Lean-burn engines

Morteza Mohammadzaheri, Reza Tafreshi, Behrouz Ebrahimi, Karolos Grigoriadis, Matthew A. Franchek

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

Abstract

In this paper, a control design synthesis is presented for processes modeled by a first-order time-varying lag with a timevarying delay. The basis of the proposed control method is a feedforward-feedback control system in which its stability, both in continuous and discrete time domains, is first proved in the absence of the time delay. A predictive model with an adaptive horizon is then introduced to address the effect of the timevarying delay. The system's closed-loop response is demonstrated for fueling control in lean-burn gasoline spark ignition engines with varying transport and combustion delays. The developed methodology is validated on a Ford F-150 SI lean-burn engine model with large time-varying delay in the control loop.

Original languageEnglish (US)
Title of host publicationMultiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791857267
DOIs
StatePublished - 2015
EventASME 2015 Dynamic Systems and Control Conference, DSCC 2015 - Columbus, United States
Duration: Oct 28 2015Oct 30 2015

Publication series

NameASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Volume3

Other

OtherASME 2015 Dynamic Systems and Control Conference, DSCC 2015
CountryUnited States
CityColumbus
Period10/28/1510/30/15

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Control and Systems Engineering

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