基于时延Petri网和人工蜂群算法的航电系统并行测试研究

航电系统的复杂程度日益提高,传统的人工检测维护手段已经无法满足现代化装备的支持保障要求,自动测试系统(ATS)正逐步成为复杂系统与设备可靠运行的必要保证,而并行测试是下一代自动测试系统(ATS,automatic test system)的关键技术之一。以并行测试技术为基础,在时延Petri网的基础上,对航电系统测试任务进行建模,并采用人工蜂群算法对Petri网的变迁序列寻求最优解,找到测试时间最短的变迁序列。仿真结果表明,该算法能够快速准确地得到最优的测试方案。

Parallel Test of Advanced Avionics System Based on Timed Petri Net and Artificial Bee Colony Algorithm

With the increasing complexity of advanced avionics system,the traditional manual inspection and maintenance methods cannot meet the security requirements of modern equipment.Automatic test system (ATS) is gradually becoming necessary to ensure reliable operation of the complex systems and the parallel test is one of the key technologies in the next generation of automatic test system.The problems of task sequence optimization about parallel test technology applied to integrated avionics test system based on Petri net modeling tools and artificial bee colony algorithm are mainly studied.Simulated result shows that the algorithm can get the best testing method.