Study on Optimum Control of Hydrogen Fueled Engine Based on Genetic Algorithms

An optimum model on the performance and emissions with operating parameters for hydrogen fueled engine is proposed.The multi-objective optimum algorithm which combines the Pareto order and the partial decision-making can make the parallel processing of the multi objectives and shorten the time in convergence.The partial decision-making was adjusted dynamically to match with the engine mode by the weight function,making an integrated multi-objective controlling in sub-variables,sub-objectives and sub-modes,and providing new approach for controlling the complex problem of multi-objectives and increasing controlling accuracy.