Nonlinear control approaches for SI engine model with uncertainties

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