变速恒频电源系统的数字仿真研究

建立了脉宽调制型交直交变速恒频电源系统的数学模型，研制了仿真软件，并给出了仿真实例。研究表明，本文的方法和软件可以进行变速恒频电源系统部件级和系统级的仿真分析，为设计和分析该系统提供了有力的工具。文中的方法和软件也可以用于分析恒速恒频和高压直流电源系统，为开发一套完整的飞机电源系统仿真软件奠定了基础。     

新型无位置传感器开关磁阻电机的研究

提出了一种新型的基于测试线圈技术的无位置传感器方案.这种方案是通过测量导通相测试线圈的电感来获得实时转子位置的.文中对此进行了理论分析和实验验证,并成功地开发完成了一台无位置传感器开关磁阻电机原理样机.     

单片机控制无刷直流电动机速度伺服系统

介绍了一种稀土永磁无刷直流方波电动机速度伺服系统，该系统以８０９８单片机为核心，外加ＧＡＬ芯片构成控制器，主回路开关器件采用ＩＧＢＴ，用ＥＸＢ８４０驱动，组成功率变换电路，实现了ＰＷＭ波单极半调制方式的电机伺服控制。     

永磁电动机网格自动剖分

有限元法是一种可以用来求复杂工程问题近似解的数值方法,而求解域的网格自动剖分技术有明显的实用价值。本文根据网格自动剖分的一般原则,阐述了稀土永磁直流电动机矩形槽三角形单元的自动剖分方法及相应的几个功能子程序,并利用Auto CAD绘图软件包方便的实现了网格数据检查和图形显示。     

无刷直流电动机的新型自适应模糊神经控制

 为无刷直流电动机提出了一种自适应模糊神经控制方法.这是一种建立在开关控制、模糊控制和自适应控制相结合基础上的控制方法,并用神经网络实现了模糊控制器和自适应机构.在无刷直流电动机的双闭环调速系统中,电流控制器是PI控制器;转速控制器是由1个开关控制器和1个包括自适应机构在内的模糊控制器相结合组成的,且用1个3层前向神经网络离线学习实现了模糊控制器,学习算法采用的是改进的BP算法.用1个单神经元通过在系统运行过程中的动态学习实现了自适应机构,学习算法选用了有监督的Hebb学习算法.由电机所处的运行阶段决定哪一个控制器工作.此控制算法的仿真结果说明,它使系统具有良好的动、静态特性和自适应性.     

直流电机网络控制系统仿真

对直流电机网络闭环控制系统进行仿真分析,根据电机网络闭环控制系统原理建立仿真模型。对具有数据丢包的直流电机网络伺服控制系统输出响应特性进行仿真,比较系统分别采用PI控制及增益,可调PI控制方式时的输出特性。结果表明,相比常规PI控制增益可调PI控制方法在网络环境下具有更好的控制特性。该研究为网络伺服控制技术提供可靠的参考依据。     

基于TC783A的三相电动机缺相保护电路的设计与实现

介绍用于三相电动机缺相保护装置的设计方法,采用集成芯片TC783A为核心元件实现,有效地解决三相电动机其他保护元件的局限性。具有快速切断控制回路电源的功能及缺相指示和相序指示,试验证明系统工作性能良好。     

The role of motor processes in mental rotation: selective shaping of cognitive processing via specific sensorimotor experience

The involvement of motor processes in mental rotation is experience-dependent: different levels of expertise in sensorimotor interactions lead to different strategies in mental rotation. In the present study, wrestlers, gymnasts, and nonathletes physically rotated objects that were either light (wooden) or heavy (lead) but otherwise having the same sizes and shapes. They then performed a mental rotation task using photographs of these objects in which the material and therefore the weight was visible. I hypothesized that wrestlers would rely more heavily on experience-based sensorimotor strategies in performing mental rotation because during their athletic practice they not only manipulate external “objects” (i.e., their opponent) but also have to plan future actions taking into account past experience of these “objects” (for example their weight). All participants reported that lead objects were harder to physically rotate than wooden ones. However, only wrestlers mentally rotated lead objects more slowly than wooden ones—as they would if they were physically rotating them—suggesting the involvement of motor processes. These findings show that the involvement of motor processes in mental rotation depends on specific rather than mere sensorimotor experience.     

Multi-level virtual prototyping of electromechanical actuation system for more electric aircraft

Electromechanical actuators (EMAs) are becoming increasingly attractive in the field of more electric aircraft because of their outstanding benefits, which include reduced fuel burn and maintenance cost, enhanced system flexibility, and improved management of fault detection and isolation. However, electromechanical actuation raises specific issues when being used for safety-critical aerospace applications like flight controls: huge reflected inertia to load, jamming-type failure, and increase of backlash with service due to wear and local dissipation of heat losses for thermal balance. This study proposes an incremental approach for virtual prototyping of EMAs. It is driven by a model-based system engineering process in order to enable simulation-aided design. Best practices supported by Bond graph formalism are suggested to develop a model’s structure efficiently and to make the model ready for use (or extension) by addressing the above mentioned issues. Physical effects are progressively introduced, and the realism of lumped-parameter models is increased step-by-step. In particular, multi-level component models are architected to ensure continuity between engineering activities. The models are implemented in the AMESim simulation environment, and simulation responses are given to illustrate how they can be used for preliminary sizing, control design, thermal balance verification, and faults to failure analysis. The proposed best practices intend to provide engineers with fast, reusable, and efficient means to assess performance virtually and enhance maturity, performance, and robustness.     

Electric potential structures of auroral acceleration region border from multi-spacecraft Cluster data

This paper studies an auroral event using data from three spacecraft of the Cluster mission, one inside and two at the poleward edge of the bottom of the Auroral Acceleration Region (AAR). The study reveals the three-dimensional profile of the region’s poleward boundary, showing spatial segmentation of the electric potential structures and their decay in time. It also depicts localized magnetic field variations and field-aligned currents that appear to have remained stable for at least 80?s. Such observations became possible due to the fortuitous motion of the three spacecraft nearly parallel to each other and tangential to the AAR edge, so that the differences and variations can be seen when the spacecraft enter and exit the segmentations, hence revealing their position with respect to the AAR.