Lean-burn air-fuel ratio control using genetic algorithm-based PI controller

Maximizing the fuel economy while lowering exhaust emissions highly depend on precise air-fuel ratio (AFR) control. The major challenge in control of AFR is time-varying delay, which an inherent reason for performance degradation and instability. For analysis, time delay approximated by Padé approximation, leading to a non-minimum phase system that exhibits difficulty controlling due its zeroes right half side s-plane. Moreover, dealing with uncertainties fuel-path dynamics minimizing effect external disturbances are key goals minimization harmful maximization economy. This study puts forward strategy lean-burn spark-ignition (SI) engines proposing genetic algorithm (GA)-based proportional-integral (PI) technique. proposed PI controller aims at aforementioned design challenges. gains, namely, proportional (K_p), integral (K_i) gains obtained GA based objective function. GA-based controller’s analyzed several methods time-domain study. According results, it has been revealed improves reference tracking existence delays closed-loop system, exhibiting good disturbance rejection properties, robust against uncertainties. Thus, can be effectively used accurate regulation under various operating conditions SI engines.