TY - JOUR
AU - 
AB - e-ISSN: 2146 - 9067 International Journal of Automotive Engineering and Technologies journal homepage: https://dergipark.org.tr/en/pub/ijaet Original Research Article Lean-burn air-fuel ratio control using genetic algorithm-based PI controller 1* 2 Serdar Coşkun , Ercan Köse 1,* Tarsus University, Department of Mechanical Engineering, Mersin Turkey. Tarsus University, Department of Electrical & Electronics Engineering, Mersin Turkey. ARTICLE INFO ABSTRACT Maximizing the fuel economy while lowering exhaust emissions highly depend Orcid Numbers on precise air-fuel ratio (AFR) control. The major challenge in the control of AFR 1. 0000-0002-7080-0340 is the time-varying delay, which is an inherent reason for performance degradation 2. 0000-0001-9814-6339 and instability. For analysis, the time delay is approximated by Padé approximation, leading to a non-minimum phase system that exhibits the difficulty Doi: 10.1824/ijaet.824507 of controlling due to its zeroes in the right half side of the s-plane. Moreover, * Corresponding author dealing with uncertainties in fuel-path dynamics and minimizing the effect of serdarcoskun@tarsus.edu.tr external disturbances are key goals in the minimization of harmful emissions and Received: Nov 11, 2020 maximization of fuel economy. This study puts forward an AFR control strategy Accepted: Oct 08, 2021 in lean-burn spark-ignition (SI) engines by proposing a genetic algorithm (GA)- Published: 09 Nov 2021 based 
TI - Lean-burn air-fuel ratio control using genetic algorithm-based PI controller
JO - International Journal of Automotive Engineering and Technologies
DO - 10.18245/ijaet.824507
DA - 2021-11-09
UR - https://www.deepdyve.com/lp/unpaywall/lean-burn-air-fuel-ratio-control-using-genetic-algorithm-based-pi-MJhfwcrMXf
DP - DeepDyve
ER -