International Journal of Hydrogen Energy, Vol.33, No.22, 6780-6791, 2008
Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms
An optimization control model which is about the relationship between power, economy, emission performances and operating parameters of hydrogen-fueled engines is established in the text, and optimality of the solution's Pareto is realized through multi-objective optimization algorithm which is combined with Pareto rank and partial decision-making, and the optimization process of multi-objective is carried out parallelly in the searching process, the solution converges to the direction of decision partiality, and the convergence speed is improved; at the same time, dynamic adjustment of partial decision-making changes as the operating condition of hydrogen-fueled engines can be realized through weighting function, thus the control of multi-variable, multi-objective, multi-working status is unified to single-objective integrated optimal control technique. This develops a new avenue to solve the controlling problem of optimization objective's diversification and complication in hydrogen-fueled engines and improve the controlling precise further. (C) 2008 International Association for Hydrogen Energy. Published by Elsevier Ltd. All rights reserved
Keywords:Hydrogen-fueled engines;Genetic algorithms;Multi-objective optimization;Ignition time;Injection duration