Adaptive optimization of emissions and fuel consumption of an internal combustion engine
Thesis/Dissertation
·
OSTI ID:6370851
Reducing automobile emission and improving fuel economy are conflicting goals. Engines must be designed and controlled to obtain an appropriate compromise between these conflicts without unduly sacrificing performance and driveability. The objective of this research was to develop adaptive on-line optimization techniques for solution of the engine control problem. A typical engine and vehicle were simulated on a computer. A recursive least square identification technique was used to estimate the parameters of a linearized discrete model of this simulated system. A discrete multivariable optimizing controller was designed using this linearized model. The adaptive on-line technique optimized the control input air-fuel, spark advance, exhaust gas recirculation rate, and throttle position to minimize a performance index. The performance index was a weighted sum of the squares of the fuel consumption rate, exhaust emission rates, and the deviations of the engine and the vehicle speeds from specified values. The solution for this optimal control problem lead to a two-point boundary value problem.
- OSTI ID:
- 6370851
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
29 ENERGY PLANNING, POLICY, AND ECONOMY
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33 ADVANCED PROPULSION SYSTEMS
330101* -- Internal Combustion Engines-- Spark-Ignition
500200 -- Environment
Atmospheric-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
AIR POLLUTION ABATEMENT
COMPUTERIZED SIMULATION
CONTROL SYSTEMS
ENGINES
FUEL ECONOMY
HEAT ENGINES
INTERNAL COMBUSTION ENGINES
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
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POLLUTION ABATEMENT
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291000 -- Energy Planning & Policy-- Conservation
33 ADVANCED PROPULSION SYSTEMS
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500200 -- Environment
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54 ENVIRONMENTAL SCIENCES
AIR POLLUTION ABATEMENT
COMPUTERIZED SIMULATION
CONTROL SYSTEMS
ENGINES
FUEL ECONOMY
HEAT ENGINES
INTERNAL COMBUSTION ENGINES
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
OPTIMIZATION
POLLUTION ABATEMENT
SIMULATION
SPARK IGNITION ENGINES