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排序方式: 共有217条查询结果,搜索用时 15 毫秒
1.
Niu Jinming 《今日民航》2018,(2)
正巴航工业莱格赛500是全球首款采用全电传操纵系统和侧杆操纵技术的中型喷气公务机,大幅减轻飞行员工作负荷的同时极大程度提升了飞行的安全与效率。作为一款融合了多项尖端技术和前卫设计的划时代产品,莱格赛500革命性地重新定义了中型公务机的概念,开启了一个新的纪元。 相似文献
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Zhuo Li Tisheng Zhang Farui Qi Hailiang Tang Xiaoji Niu 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2019,63(7):2164-2174
Since the signals of global navigation satellite system (GNSS) are blocked frequently in challenging environments, the discontinuous carrier phases seriously affect the application of GNSS precise positioning. To improve the carrier phase continuity, this paper proposes a carrier phase prediction method based on carrier open-loop tracking. In the open-loop tracking mode, the carrier numerically controlled oscillator (NCO) is controlled by the predicted Doppler, but not by the loop filter output. To improve the phase prediction effective time, accurate receiver clock drift estimation is studied in the prediction method. The phase prediction performance is tested on GNSS software receiver. In the phase prediction effective time tests, open-loop processes were set for the tested channel. The test results show that, when some satellite signals are blocked in 15?s, the probability of carrier phase error less than quarter cycles is more than 94%. In the real time kinematic (RTK) positioning tests, some satellite signals are blocked in 10–15?s repeatedly. The test results show that, the carrier phase continuity is basically not affected by the signal interruption, and the RTK can almost keep continuous centimeter-level positioning accuracy without re-fixing the integer ambiguity. 相似文献
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波浪发电系统最大功率点跟踪控制中,传统粒子群算法存在早熟收敛和局部搜索能力不足问题,为此提出基于模拟退火算法的粒子群优化方案。该算法每次更新粒子的速度和位置时,通过比较当前温度下各个粒子的适配值与随机数的大小,从所有粒子中确定全局最优解的替代值,从而使粒子群算法在发生早熟收敛时能够跳出局部最优并快速找到全局最优解。仿真结果表明,与传统粒子群优化算法相比,模拟退火粒子群算法可有效避免波浪发电系统陷入局部最大功率点,并快速实现全局最大功率跟踪,提高了波浪能捕获率。 相似文献
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A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem. 相似文献
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Design and Application of Discrete Sliding Mode Control with RBF Network-based Switching Law 总被引:3,自引:0,他引:3
This article proposes a novel approach combining exponential-reaching-law-based equivalent control law with radial basis function (RBF) network-based switching law to strengthen the sliding mode control (SMC) tracking capacity for systems with uncertainties and disturbances. First, SMC discrete equivalent control law is designed on the basis of the nominal model of the system and the adaptive exponential reaching law, and subsequently, stability of the algorithm is analyzed. Second, RBF network is used to form the switching law in a direct and online manner with sliding-mode-related inputs and by approximating evaluation function; and the method to adjust its parameters is devised. Finally, comparable experiments are carried out to verify the application of the proposed approach to an inner-axis driven by a direct current (DC) torque motor through extra-low speed servo for a high precision flight simulator, and the axis works under deteriorating conditions such as periodically fluctuating torques of motor, nonlinear friction, and time-varying model parameters. The results show that the combined SMC can effectively improve the servo performance, for instance, to a stable 0.000 08 (°)/s speed response, the tracking error would be within 0.000 08° in 98% of operating times. Moreover, the hybrid nature of the approach imparts the RBF network the features of removing offline training and ease to set initial parameters. 相似文献
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牛欣 《民用飞机设计与研究》2014,(3):103-108
运用价值型投入产出模型,基于投入产出表,分析我国民机产业在国民经济中的地位、与各部门之间的相关联系、对其他部门的依赖性以及对国民经济的带动,并进一步与民航产业进行对比分析。研究结果进一步印证民机产业在国民经济发展中的重要性,为进一步争取国家政策支持提供理论基础和依据。 相似文献