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一种以系统熵产最小为目标函数的优化方法,应用到飞机环控/发动机系统的综合优化计算。由于在不同飞行阶段为使系统总的熵产减小对设计变量的要求不尽相同,甚至存在冲突,引入多目标优化的思想进行优化计算。将任务剖面内不同飞行阶段系统总的熵产最小视为不同的目标函数,通过分析系统之间交联关系、选取设计变量和分析约束条件建立多目标优化计算模型。采用自适应进化多目标粒子群优化算法对模型进行优化计算,得到非劣最优解集,为方案决策提供理论依据。仿真结果证实该方法的有效性,为飞机系统综合优化提供一种新思路。
An optimization method that takes the minimum system entropy production as the objective function is applied to the comprehensive optimization calculation of the aircraft loop control / engine system. Due to the different requirements of the design variables and even conflicts during different stages of flight, in order to reduce the total entropy production of the system, the idea of multi-objective optimization is introduced to optimize the calculation. The minimum entropy production of the system at different flight phases in the mission section is regarded as a different objective function. The multi-objective optimization model is established by analyzing the cross-linking relationship among the systems, selecting the design variables and analyzing the constraints. The adaptive evolutionary multi-objective particle swarm optimization algorithm is used to optimize the model to get the non-inferior optimal solution set, which provides a theoretical basis for the decision-making of the scheme. The simulation results confirm the validity of the method and provide a new idea for the comprehensive optimization of the aircraft system.