一种机载系统研制保证等级分配的优化方法

为系统的设备/功能分配研制保证等级并实施相应的研制保证活动, 能使研制过程发生错误的可能性最小化。以设备/功能的研制保证等级为决策变量, 以研制保证等级分配原则和系统顶层失效状态发生概率要求为约束条件, 以系统研制成本最小为优化目标, 构建了机载系统研制保证等级分配模型。以所有设备/功能的研制保证等级组成的向量为个体, 提出了基于遗传粒子群(genetic algorithm and particle swarm optimization, GA-PSO) 混合算法的分配模型求解方法。最后, 结合某假定机载系统和某飞机电传飞控系统给出了应用实例, 结论表明本文方法有效降低了对设计人员经验的依赖, 并且对比单一算法具有更高的精确度和计算效率。

An optimization method for development assurance level assignment of airborne system

Assigning development assurance levels for items/functions and conducting corresponding development assurance activities can minimize the possibility of errors in the development process. The development assurance levels of the items/functions consisting of the system are taken as decision variables, the assignment principle of development assurance levels and the probability requirement of the top failure conditions are taken as constraints, and the minimization of the development cost is taken as the optimizing objective, the model of the development assurance level assignment is established. Taking the vector composed of the development assurance levels of all items/functions as the individual chromosome, a method of solving the model is proposed based on the a genetic algorithm and particle swarm optimization (GA-PSO) hybrid algorithm. Finally, an application instance is given based on a hypothetical air-borne system and a certain fly-by-wire flight control system. The results show that the proposed method can reduce the dependence on designers'experiences or skills effectively, and has higher accuracy and efficiency compared with other algorithms.