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Adaptive Control of Air-Fuel Ratio for Optimising the Fuel Efficiency of a Lean Burn Natural Gas Engine
Published October 17, 1994 by Society of Automotive Engineers of China in China
The widespread acceptance of compressed natural gas (CNG) in domestic automotive application has been impeded because of the limited driving range of converted vehicles between fuel stops. This inherent problem with the storage of gaseous fuels is driving the search for maximum engine efficiency. The focus of this work is to implement "intelligent" controllers to optimize the air-fuel ration for lean burn CNG engines for different operating conditions. Modified adaptive algorithms are used to estimate parameters of non-linear performance models. These models are then used to calculate subsequent inputs for optimal control. New constrained adaptive techniques have been devised to take into account non-performance related feedback of undesired operation. In summary, the paper provides novel adaptive control techniques, especially suited to high speed, on line automotive applications.