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机构地区:[1]南京航空航天大学自动化学院,南京210016
出 处:《计算机测量与控制》2018年第1期226-228,233,共4页Computer Measurement &Control
摘 要:为了提高无人机飞行控制系统的可靠性,针对样例飞行控制计算机分布式架构的特点设计了余度管理策略;针对多CPU同步困难及同步后的积累性时漂误差问题,通过任务同步算法和简化版的TPSN同步算法相结合实现了各CPU之间的时间同步,有效地降低了时漂带来的影响,同步精度可达到0.1毫秒以内;采用基于"距离"的封装表决算法完成三余度决策输出功能,降低了开发的难度,减少了传统方式的代码冗余;采用系统重构策略对故障CPU进行管理,通过系统降级与故障恢复提高系统可靠度;最后对关键环节进行了功能测试,测试结果表明各环节可达到功能和指标要求,验证了所提出的余度管理策略的合理性和有效性。In order to improve the reliability of the flight control system of unmanned aerial vehicle(UAV),the management strategy of redundancy is designed based on the sample flight control computer with distributed architecture.To solve the difficult synchronization problem between CPUs and accumulating error on the time drift after synchronization,the time synchronization of CPUs is realized by integrate task synchronization algorithm with simplified TPSN synchronization algorithm,which decreased the influence of time drift efficiently and improved the synchronous accuracy to 0.1 milliseconds.Then the choice of the output channel from the three channels is dependent on 'distance'-based encapsulation voting algorithm,which decreased the developing difficulty and code redundancy in traditional way.And reconstruction strategy is adopted to manage CPU fault,which increased the reliability of system through system degradation and failure recovering.Finally,a function testing for these key points,the result shows that these points can meet functional requirement and technical index,through which the efficiency and reliability of the proposed redundancy management strategy is verified.
分 类 号:V249[航空宇航科学与技术—飞行器设计]
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