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Fuel to Air Ratio Controller. Team Members Hammad Abbasi Gurbinder Parmar Solomon Desta Madhav Khanna Sachna Bobal . Abstract. Model-based control methods designed to meet future emission and diagnostic regulations has increased the need for engine models.

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fuel to air ratio controller
Fuel to Air Ratio Controller

Team Members

  • Hammad Abbasi
  • Gurbinder Parmar
  • Solomon Desta
  • Madhav Khanna
  • Sachna Bobal
abstract

Abstract

Model-based control methods designed to meet future emission and diagnostic regulations has increased the need for engine models.

Dynamic phenomena affecting the relationship between the sensed F/A output from the exhaust and the fuel-metering command at the input of carburetor are

Intake fuel and air mixing

Cycle delays due to the piston strokes in the engine

The time required for the exhaust to travel from the engine to the sensor.

controller design
Controller Design
  • Add proportional control » » improve Rise Time
  • Add derivative control » » improve Overshoot
  • Add integral control » » eliminate ess

Initial Assumptions:

  • Linear sensor output
pad approximation
Padé approximation
  • Laplace transform » » exp (-sTa)
  • Pade approximates time delays by rational LTI models
  • Such approximations useful » » model time delay effects

MATLAB Syntax

  • [num,den] = pade(T,N)
  • pade(T,N)
  • sysx = pade(sys,N)
  • sysx = pade(sys,NI,NO,Nio)
  • NI(j) » » approximation order for the j-th input channel.
  • NO(i) » »approximation order for the i-th output channel.
  • Nio(i,j) » »approximation order for the I/O delay from input j to output i.