Nonlinear control approaches for SI engine model with uncertainties

Air-fuel ratio control is a challenging control problem for port fuel injected and throttle body fuel injected spark ignition (SI) engines, since the dynamics of air manifold and fuel injection of the SI engines are highly nonlinear and often with unmodeled uncertainties and disturbance. This paper presents nonlinear control approaches for multi-input multi-output engine models, by developing adaptive control and learning control design methods. Theoretical proofs are established which ensure proposed controllers are able to give asymptotical tracking performance. Adaptive control and learning control approaches are capable of dealing with both constant uncertainty and time-varying periodic uncertainty. Simulation results illustrate the efficacy of the proposed controllers.