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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 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. 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 • Add proportional control » » improve Rise Time • Add derivative control » » improve Overshoot • Add integral control » » eliminate ess Initial Assumptions: • Linear sensor output
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.