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Technical Paper

Development and Analysis of Adaptive Neural Network Control for a Cybernetic Intelligent ‘iGDI’ Engine

2015-04-14
2015-01-0157
As combustion can vary widely between engine cycles if left uncontrolled, strict and robust control is required to meet optimum performance at different operating conditions. In this research, intelligent control techniques implemented on a Gasoline Direct Compression Injection (GDCI/GDI) engine. A research four cylinder 2.0 L GDI engine modeled with optimal control hardware that is frequently called as the conceptual Cybernetic intelligent GDI or ‘iGDI’ engine. The engine features Free Valve Actuation (FVA) hardware and precision fuel injector connected directly to the engine cylinder that found assistive for control flexibility by technical assessments. Then a mechatronic neural control approach is proposed and discussed with adaptive control techniques. Adaptive and predictive neural network control architectures developed for two distinct plant operation modes.
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