混合PSO-SQP算法在航电系统测试性分配中的应用  

Application of Hybrid PSO-SQP Algorithm in Testability Allocation of Avionics System

作　　者：胡艺馨 孙毅刚[2] 赵珍 HU Yixin;SUN Yigang;ZHAO Zhen(Civil Aviation University of China,Basic Experiment Center,Tianjin 300300 China;Civil Aviation University of China,College of Aeronautical Engineering,Tianjin 300300 China;Civil Aviation University of China,College of Electronic Information and Automation,Tianjin 300300 China)

机构地区：[1]中国民航大学基础实验中心,天津300300 [2]中国民航大学航空工程学院,天津300300 [3]中国民航大学电子信息与自动化学院,天津300300

出　　处：《电光与控制》2021年第5期60-65,共6页Electronics Optics & Control

基　　金：中央高校基本科研业务费项目中国民航专项资助(3122019109);国家自然科学基金-中国民航局民航联合研究基金(U1533201);天津市自然科学基金(18JCQNJC05000)。

摘　　要：在考虑降低测试与维修成本的基础上,通过建立一种以费用函数作为目标函数的数学模型,将航电系统升级改装过程中的测试性指标分配问题转化为非线性规划(NLP)问题,针对此NLP问题,采用粒子群优化算法与序列二次规划算法相结合的混合优化算法,充分发挥前者较强的全局搜索能力与后者较强的局部精确搜索能力对问题模型进行求解,为航电系统升级改装过程中的测试性指标分配问题提出了一种最优的求解方法。结果表明,与单独使用PSO和SQP算法相比,使用混合算法能更快地取得最优值,验证了所提分配方法的可行性。Considering of reducing the cost of test and maintenance a mathematical model with cost function as the objective function is established which transforms the problem of Testability Index Allocation(TIA)in the process of avionics system upgrading and refitting into a Nonlinear Programming(NLP)problem.Aiming at this NLP a hybrid optimization algorithm combining Particle Swarm Optimization(PSO)algorithm with Sequential Quadratic Programming(SQP)algorithm is used to solve the problem which makes full use of the former s strong global search ability and the latter s strong local accurate search ability and supplies an optimal solution method for the TIA problem in the upgrading and refitting process of avionics system.The results show that compared with using PSO and SQP alone the hybrid algorithm can obtain the optimal value faster which verifies the feasibility of the proposed allocation method.

关 键 词：航电系统 测试性指标 费用函数 非线性规划 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]