Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms
Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms
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DOI：
10.1016/j.ijhydene.2008.05.108
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发表时间：
2008-11
影响因子：
7.2
通讯作者：
Zhenzhong Yang;Li-jun Wang;Shilei Li
中科院分区：
文献类型：
--
作者：
Zhenzhong Yang;Li-jun Wang;Shilei Li
本文建立了氢燃料发动机功率、经济性、排放性能与运行参数之间关系的优化控制模型，通过结合Pareto秩和局部决策的多目标优化算法实现了解的Pareto最优性，并在搜索过程中并行进行多目标优化过程。该解收敛到决策偏好的方向，提高了收敛速度；同时，可以通过加权函数实现对氢燃料发动机运行工况下的局部决策变化进行动态调整，从而将多变量、多目标、多工作状态的控制统一为单目标综合最优控制技术。这为解决氢燃料发动机优化目标多样化和复杂性的控制问题，进一步提高控制精度开辟了一条新的途径。
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.