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Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms
- Source :
-
International Journal of Hydrogen Energy . Nov2008, Vol. 33 Issue 22, p6780-6791. 12p. - Publication Year :
- 2008
-
Abstract
- Abstract: 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03603199
- Volume :
- 33
- Issue :
- 22
- Database :
- Academic Search Index
- Journal :
- International Journal of Hydrogen Energy
- Publication Type :
- Academic Journal
- Accession number :
- 35122341
- Full Text :
- https://doi.org/10.1016/j.ijhydene.2008.05.108