optimization-based non-linear control law with increased robustness for air fuel ratio control in si engines

in spark ignition (si) engines, the accurate control of air fuel ratio (afr) in the stoichiometric value is required to reduce emission and fuel consumption. the wide operating range, the inherent nonlinearities and the modeling uncertainties of the engine system are the main difficulties arising in the design of afr controller. in this paper, an optimization-based nonlinear control law is analytically developed for the injected fuel mass flow using the prediction of air fuel ratio response from a mean value engine model. the controller accuracy is more increased without chattering by appending the integral feedback technique to the design method. the simulation studies are carried out by applying severe changes in the throttle body angle to evaluate the performance of the proposed controller with and without integral feedback. the results show that the proposed controller is more effective than the conventional sliding mode controller in regulating the afr without chattering.