基于状态空间模型的无刷直流电机控制器设计

在无刷直流时机的位置伺服系统中，采用了基于状态空间模型的优化设计方法，综合出了次优控制器、建立了广义误差系统状态方程，并利用积分罚函数分段一经法处理伺服系统不等式约束的问题，得出了次优控制算法，经仿真证实，有杉该优化方法设计出的伺服系统的稳态跟踪误差为零；稳成输出不受阶跃干扰的影响；并具有期望的瞬态响应特性。     

研究两相流流动特性的测量系统

一种在气-液两相流或液相流中流动特性的测量系统,其结构简单、操作方便、实用性强;它可以自动地移动测量探针、进行多通道的数据采集和对实测数据进行实时处理;采样频率可达几十万赫兹; 这个系统适用于处理各种仪表输出的模拟或数字信号。本文描述了测量气泡速度、气泡大小、含气率、混匀时间和剪切应力等的电位探针和电化学技术。这个系统在许多实验中得到应用。     

低速风洞数据采集与处理系统

对低速风洞数据采集与处理系统作了综合介绍，该系统以先进的电子扫描压力测量仪器为主体，高性能微机为系统控制处理机，配制高精度模拟量采集部件和前置通道放大器，灵活实用的软件，系统具有同时进行测力测压试验的能力。该系统提供压力联机校正，模拟量通道标准信号校正功能，整个系统的设计包括了许多先进的仪器概念如：电子扫描测压，模拟量信号调理等。该系统具有采集速度快，高稳定性，软硬件功能齐全，实时数据处理，快速提     

一种新的导航星选取算法研究

在导航星表的建立过程中，由于恒星的数量太多，往往要进行筛选，通常这种选择复杂费时，而结果往往并不是最优的。本文引入了动态星等阈值分布函数，将传统星等阈值过滤算法中的静态阈值用动态星等阈值代替，建立了一种新的动态星等阈值过滤选择模式。而基于统计学习理论的支持向量机方法为求解高维非线性动态星等阈值分布函数提供了新的途径。本文讨论了这种基于支持向量机的导航星自动选择算法——回归选取算法。实验表明，用该算法所选取的导航星表，导航星数量少、分布均匀性好。同时它还能适应多种任务的导航星选取要求，具有很强的通用性。     

行星际磁场（IMF）By分量对磁正午前后区极光嘶声发生率的调制

利用南极极点站（磁纬约７５°）１９８６年３１－３８ｋＨｚ频率的ＶＬＦ波数据和卫星观测的ＩＭＦＢｙ分量数据，分析研究了ＩＭＦ晨昏分量Ｂｙ对高纬ＶＬＦ极光嘶声统计发生率周日分布的影响。结果发现，Ｂｙ对极光嘶声的统计发生率的磁地方对（ＭＬＴ）分布有明显的调制作用。磁正午前后的ＶＬＦ统计发生率不对称，Ｂｙ为正，午后发生率大于午前，Ｂｙ为负，午前发生率大于午后，Ｂｙ极性对夜侧ＶＬＦ发生频次的磁地方时分布也有     

电磁场对航空电子设备干扰的预测研究

论述飞机内部辐射电磁通过电缆线感应耦合，形成对电子设备干扰的机理，分析这种干扰模式既有辐射，又有传导的复合特点。应用孔缝衍射、场对线激励、含分布源传输线和网络分析等理论与方法，逐层剖析描述了预测数学模型，并给出了能够对电子设备电子元件级进行可靠性和安全性评估的实用预测软件。     

航天电连接器及其组件失效分析

介绍了航天电连接器及其组件失效分析中初步分析、详细分析、故障假设和最终鉴定四个阶段的内容及方法。阐述了断路、接触不良、瞬断、绝缘不良、短路、误配线、固定不良和密封不良等常见失效模式和失效机理。给出了失效分析的程序和若干检验方法。     

Anomalous enhancement of electric field derived from ionosonde data before the great Wenchuan earthquake

The seismo-ionospheric coupling is a hot topic of modern scientific research. One of the most reasonable mechanisms is the hypothesis of quasistatic electric field. With a preliminary analytical method, electric field in F2-region before Wenchuan earthquake was derived from the five lower latitude ground-based ionosondes: Lhasa (29.63°N, 91.17°E), Chongqing (29.50°N, 106.40°E), Kunming (25.00°N, 102.70°E), Guangzhou (23.15°N, 113.35°E) and Haikou (23.15°N, 110.35°E). The results show that there was an anomalous enhancement of electric field in F2-region close to the epicenter with maximal amplitude ∼2 mV/m (about 10 times of the background) at 15:00 LT on 9 May, which is in line with the amplitudes of anomalous electric field related to some previous earthquakes observed by satellites.     

Hybrid calibration method for six-component force/torque transducers of wind tunnel balance based on support vector machines

A hybrid calibration approach based on support vector machines (SVM) is proposed to characterize nonlinear cross coupling of multi-dimensional transducer. It is difficult to identify these unknown nonlinearities and crosstalk just with a single conventional calibration approach. In this paper, a hybrid model comprising calibration matrix and SVM model for calibrating linearity and nonlinearity respectively is built up. The calibration matrix is determined by linear artificial neural network (ANN), and the SVM is used to compensate for the nonlinear cross coupling among each dimension. A simulation of the calibration of a multi-dimensional sensor is conducted by the SVM hybrid calibration method, which is then utilized to calibrate a six-component force/torque transducer of wind tunnel balance. From the calibrating results, it can be indicated that the SVM hybrid calibration method has improved the calibration accuracy significantly without increasing data samples, compared with calibration matrix. Moreover, with the calibration matrix, the hybrid model can provide a basis for the design of transducers.     

A fast arc fault detection method for AC solid state power controllers in MEA

Arc fault detection is desperately required in Solid State Power Controllers (SSPC) in addition to their fundamental functions because arcs will provoke growing harm and threat to aircraft safety. Experimental study has been done to obtain the faulted current data. In order to improve the detection speed and accuracy, two fast arc fault detection methods have been proposed in this paper with the analysis of only half cycle data. Both Fast Fourier Transform (FFT) and Wavelet Packets Decomposition (WPD) have been adopted to distinguish arc fault currents from normal operation currents. Analysis results show that Alternating Current (AC) arcs can be effectively and accurately detected with the proposed half cycle data based methods. Moreover, experimental verification results have also been provided.