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航天科研单位绩效考核体系探讨 总被引:1,自引:0,他引:1
文章对航天科研单位的绩效考核体系的现状进行深入地分析,总结出绩效考核落后的几点原因,并在此基础上提出改进措施。 相似文献
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U-K理论为获得约束多体系统的解析动力学方程提供了新的理念,但由于数值近似和截断误差等因素的影响,动力学方程在位置和速度层面上存在约束违约。Baumgarte约束违约稳定法(BSM)通过约束修正得到稳定的动力学方程。然而,Baumgarte参数的选择通常涉及一个试错过程,可能会出现失效的仿真结果。为此,利用经典的四阶Runge-Kutta法研究了Baumgarte参数选取问题,创建了基于BSM修正后的U-K理论的机器人系统解析动力学方程。以下肢康复机器人为研究对象仿真分析,结果表明:利用所提方法可以有效抑制约束违约,关节角度误差控制在-5×10-3(°)~5×10-3(°)范围内;关节角速度误差控制在-2×10-4~2×10-4 rad/s范围内;机器人末端执行器运行轨迹能够很好地贴近系统预定的目标。 相似文献
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针对飞行马赫数大于设计马赫数的情况,采用二维磁流体动力学方程对磁控进气道进行了数值模拟研究。数值模拟结果表明磁流体装置的电磁作用可以使非设计马赫数下进气道激波满足SOL(shock on lip)条件,并使出口处的流动变得均匀。分析了磁流体作用位置、宽度和深度等关键控制参数对该类进气道性能的影响,计算结果表明,磁流体作用区域越靠近飞行器前缘,而且在纵向越深,则进气道出口处的流动越均匀,但流率会有所下降;若磁流体作用区域较宽,则需较小的磁场就能使非设计马赫数下进气道的激波结构满足SOL条件。 相似文献
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Conflict avoidance (CA) plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm (MA), which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm (GA) is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches. 相似文献
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Almost all work on model-based diagnosis (MBD) potentially presumes faults are per- sistent and does not take intermittent faults (IFs) into account. Therefore, it is common for diag- nosis systems to misjudge IFs as permanent faults (PFs), which are the major cause of the problems of false alarms, cannot duplication and no fault found in aircraft avionics. To address this problem, a new fault model which includes PFs and IFs is presented based on discrete event systems (DESs). Thereafter, an approach is given to discriminate between PFs and IFs by diagnosing the current fault. In this paper, the regulations of (PFs and IFs) fault evolution through fault and reset events along the traces of system are studied, and then label propagation function is modified to account for PFs and the dynamic behavior of IFs and diagnosability of PFs and IFs are defined. Finally, illustrative examples are presented to demonstrate the proposed approach, and the analysis results show the fault types can be discriminated within bounded delay if the system is diagnosable. 相似文献
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