ECP系统列车总线电源设计

根据ECP系统列车总线电源的设计需求,选择推挽正激和单端反激两种DC／DC电路拓扑作为列车总线电源的电路拓扑,并设计了列车总线电源的控制程序,最后进行了地面联调试验。试验结果表明设计的列车总线电源满足ECP系统的工作要求。     

MOTOMAN机器人自动焊接系统设计

为实现焊接过程的自动化,提升制造企业的生产自动化水平,设计了一种基于Device Net现场总线的机器人自动焊接系统。由MOTOMAN DX100弧焊机器人、EWM交直流焊接电源和工业PC构建现场总线网络;机器人通过总线控制焊接电源动作,并实时设定焊接过程工艺参数;采用基于工业PC的监控系统进行焊机工作状态的监控和焊接参数的实时采集与存储。应用结果表明,该系统操作简单、稳定性好,具有一定的推广价值。     

高性能计算机总线变换器输出阻抗优化设计

针对中间母线架构分布式供电的高性能计算机电源稳定性问题,详细分析了三种不同控制方法总线变换器的输出阻抗特性,给出了负载点变换器输入阻抗低频值和总线变换器输出阻抗峰值的计算公式。建立了由一个总线变换器和两个负载点变换器组成的实验电路,对总线变换器输出阻抗进行了优化设计,并实际测量了输入和输出阻抗,验证了理论分析的正确性。实验和应用结果表明,输出阻抗优化设计可以有效解决高性能计算机电源稳定性问题。     

煤矿井下备用电源网络化电池管理系统研究

针对目前煤矿井下特殊工作环境及相关行业标准,设计一种适合煤矿井下大容量UPS锂电池电源需求的电源管理系统。实现对电源的单体电池电压、电池组容量、均衡性等多种参数的实时监测与显示,对整个UPS电源系统内所有电池组进行循环容量自检和均衡控制。并且将单体电源通过CAN总线控制,在总线上实现了整个UPS电源管理系统的智能相互管理和控制。该系统提高了整个煤矿井下UPS电源的可靠性和电源使用效率。     

总线式电容型设备绝缘在线检测系统

变电站电容型高压设备繁多，分布分散，适合应用现场总线技术组建总线式的电容型设备绝缘在线检测系统。阐述了基于分压电容的信号采集原理，提出了多下位机同步采样控制方法。基于这些原理方法，开发了一套容型设备介损在线检测系统并应用于实际工程，实践验证了该方法和设计方案的可行性。     

SPARTAN-3 FPGA的功耗估算与电源IC设计

针对大容量、低功耗SPARTAN-3系列FPGA电源的需求,论述其电源系统的设计,主要包括功耗估算、电源IC的选型及其PCB设计、去耦电容和旁路电容的设计,并提出了PCB分层和电源分割应遵循的一般原则.     

便携式系统PDS分析与设计

研究了模拟、数字和射频混合电路便携式设备中PCB板电源传输系统(PDS)的设计方法,以及由电源传输系统引起的信号完整性问题。对PDS去耦网络中电容容量和数量做了定量和定性分析及研究,从电容提供电流速度这一角度给出了电容在PCB设计中布局的方法,以及电源传输系统引起的信号完整性问题的解决方法。该方法是经过大量智能便携式产品设计和测试总结与归纳后得出的,解决了设计和测试过程中出现的很多问题,也为新产品的开发在电源设计方面提供了新思路。     

空空导弹测试系统应用LXI总线研究

首先对空空导弹测试系统应用各种仪器总线的情况进行了分析研究,然后介绍了一台PXI总线测试设备的改造方案,该方案中设计了一套基于LXI总线控制的电源子系统,该子系统与PXI主系统一起形成了新的混合总线控制测试设备;该改造方案实现了改造需求中的低成本和小型化设计;同时,结合该方案分析了LXI总线在空空导弹测试系统上应用的优缺点和现阶段局限性;提出了空空导弹测试系统应向着通用、开放和网络化方向发展的观点,得出了未来的空空导弹测试系统将是包含GPIB、VXI、PXI、LXI等总线接口的合成系统,各总线接口仅是网络上的一个节点的结论.     

电动汽车混合电源系统及其能量管理策略研究

对蓄电池-超级电容混合电源的研究,是电动汽车研究领域中的热点.针对电动汽车续驶里程短,蓄电池寿命较短等问题,对电动汽车电源系统的控制策略进行研究.为了合理的控制两者的功率输出,使电动汽车更高效的运行,详细分析电动汽车混合电源系统运行模式,利用蓄电池能量密度较高,超级电容功率密度较高的特点,提出功率电流控制超级电容和双闭环控制蓄电池相结合的混合功率分配策略.在MATLAB/simulink仿真环境下对电动汽车混合电源以及所提出的控制策略仿真,仿真结果表明:超级电容电流能够准确跟随大功率需求时的参考电流,超级电容起到了辅助电源的作用,减少了蓄电池大电流冲击以及充放电次数,所提出的控制策略能合理分配蓄电池和超级电容的出力.     

电容劣化对DC-DC电源寿命影响仿真系统

在DC-DC电源中,滤波网络中铝电解电容的劣化是影响电源寿命的主要因素,因此可以通过监测电容的劣化来评估DC-DC的健康状况。基于前期对电容的主要劣化模式及其对DC-DC影响的研究工作建立了电容劣化对DC-DC寿命影响仿真系统。该系统以LabView为主设计完成,通过劣化注入的方式模拟电容劣化。系统测试结果：电容劣化引起DC-DC输出纹波电压变大,DC-DC寿命缩短,这与理论分析一致。该系统可以仿真电容劣化的过程并可研究电容劣化对DC-DC寿命的影响。     

A new approach to bus impedance matrix building

Modern power systems are probably the largest real physical systems in existence today. Digital computers used to solve power system planning and operational problems require network matrices either in impedance form or admittance form. Initially the use of bus impedance matrix (Z_Bus) was not encouraged due to time, memory and computational requirements. Later it was realized that the bus impedance matrix could be efficiently used for short circuit and stability studies. In this paper a new approach for bus impedance matrix building is proposed and the results are compared with that of Brown's algorithm [Trans. AIEE 79 (part III) (1960) 1277].     

含恒功率负荷的直流微电网系统性稳定性研究

传统的直流微电网稳定性分析法主要集中于基于阻抗匹配准则的小信号稳定性研究,现以含有恒功率负荷的直流微电网为研究对象,对直流微电网稳定性进行系统性分析,即在直流微电网满足大信号稳定性的基础上再去讨论其小信号稳定性。根据直流微电网稳态数学模型,通过李雅普诺夫间接法分析直流微电网满足大信号稳定性时的区域条件;提出一种基于高通滤波的有源补偿方法来增大系统阻尼,减小恒功率负载的负阻尼效应对直流母线电压稳定性的影响;建立含有有源补偿器的直流微电网的小信号模型,采用阻抗匹配准则分析加入有源补偿方法后直流系统的小信号稳定性。仿真结果验证了有源补偿方法对直流母线电压的补偿效果。     

Combined use of supervised and unsupervised learning for power system dynamic security mapping

This paper proposes a new methodology which combines supervised and unsupervised learning for evaluating power system dynamic security. Based on the concept of stability margin, pre-fault power system conditions are assigned to the output neurons on the two-dimensional grid with the growing hierarchical self-organizing map technique (GHSOM) via supervised artificial neural networks (ANNs) which perform an estimation of post-fault power system state. The technique estimates the dynamic stability index that corresponds to the most critical value of synchronizing and damping torques of multimachine power systems. ANN-based pattern recognition is carried out with the growing hierarchical self-organizing feature mapping in order to provide adaptive neural network architecture during its unsupervised training process. Numerical tests, carried out on a IEEE 9 bus power system are presented and discussed. The analysis using such method provides accurate results and improves the effectiveness of system security evaluation.     

基于CAN总线的智能节点设计

CAN作为一种可靠性高、价格低廉、技术成熟的现场总线技术在众多领域得到了广泛的应用,本文结合一种实际的车载通信设备应用系统设计过程,介绍了该技术如何运用到具体项目中,讨论了在实际应用中CAN总线的设计和运用方法。该设计利用传统的经典电路,简化了系统结构,降低了系统功耗,增强了系统稳定性。本方法在应用CAN总线的智能节点设计方面具有参考价值。     

适用超级计算机的一种优化供电方式

本文提出了一种适用刀片式结构超级计算机的优化供电方式,将刀片式结构超级计算机供电广泛采用的两级直流母线、三级电源变换的供电方式改为一级直流母线和两级电源变换,同时仍保留了可接入后援蓄电池的直流电输入接口。文中对在超级计算机上实现这种优化供电方式的主要技术难点进行了论述,并提供了详细的解决方案。这种优化的供电方式已经在某超级计算机系统中得到了实际应用。应用效果证明,这种供电方式能够提高供电效率,降低电源成本,减少电源器件对插件板板面的占用,提高电源系统的可靠性。对在电源系统设计工作中如何降低超级计算机能耗的其他方法也做了简要介绍。     

Adaptive sliding mode control of interleaved parallel boost converter for fuel cell energy generation system

This paper deals with the problem of controlling energy generation systems including fuel cells (FCs) and interleaved boost power converters. The proposed nonlinear adaptive controller is designed using sliding mode control (SMC) technique based on the system nonlinear model. The latter accounts for the boost converter large-signal dynamics as well as for the fuel-cell nonlinear characteristics. The adaptive nonlinear controller involves online estimation of the DC bus impedance ‘seen’ by the converter. The control objective is threefold: (i) asymptotic stability of the closed loop system, (ii) output voltage regulation under bus impedance uncertainties and (iii) equal current sharing between modules. It is formally shown, using theoretical analysis and simulations, that the developed adaptive controller actually meets its control objectives.     

Development of a real-time control architecture for a semi-autonomous underwater vehicle for intervention missions

The need for autonomous underwater vehicles (AUVs) for intervention missions becomes greater as they can perform underwater tasks requiring physical contacts with the underwater environment, such as underwater plug-in/plug-out, construction and repair, cable streaming, mine hunting, munitions retrieval, and scientific sampling. This paper describes a semi-autonomous underwater vehicle for intervention missions that has multiple on-board CPUs, redundant sensors and actuators, on-board power source and a robotic manipulator for dextrous underwater performance. Such a complex robotic vehicle system requires advanced control software architecture for on-board intelligence with a wide range of sensors and actuators to carry out required missions. In this paper, AUV control architectures are reviewed and a sensor data bus based control architecture (SDBCA) is presented. SDBCA is a modified hierarchical architecture that offers good controllability and stability while sensor data bus increases flexibility of system design, making it possible to have a prompt response from high-level control with respect to low-level sensor data. The overall sensor input mechanism of SDBCA becomes similar to the sensor input mechanism of subsumption architecture.     

基于AHB总线的RISC-V微处理器设计与实现

在嵌入式应用中,为了满足小面积低功耗的设计需求,设计了一种支持RISC-V指令集架构的微处理器,系统采用2级流水结构,实现了RV32IMAC指令集。处理器采用AHB总线作为片上互连总线,可方便调用外部IP核进行功能拓展。在VCS环境下验证了该微处理器的逻辑功能,仿真结果表明该微处理器能够正常稳定运行。在面积、功耗和性能等方面与蜂鸟E203处理器以及ARM Cortex-M系列处理器进行了对比,该设计比蜂鸟E203处理器面积小了6%,功耗和性能上与Cortex-M0处理器相当。分析结果表明该处理器较适合在小面积、低功耗的嵌入式应用领域进行开发。     

DSP/FPGA-based Controller Architecture for Flexible Joint Robot with Enhanced Impedance Performance

Some practical issues associated with enhancing the Cartesian impedance performance of flexible joint manipulator are investigated. A digital signal processing/field programmable gate array (DSP/FPGA) structure is proposed to realize the singular perturbation based impedance controller. To increase the bandwidth of torque control and minimize the joint torque ripple, boundary layer system and field-oriented control (FOC) are fully implemented in a FPGA of each joint. The kernel of the hardware system is a peripheral component interface (PCI)-based high speed floating-point DSP for the Cartesian level control, and FPGA for high speed (200 us cycle time) multipoint low-voltage differential signaling (M-LVDS) serial data bus communication between robot Cartesian level and joint level. Experimental results with a four-degree-of-freedom flexible-joint manipulator under constrained-motion task, demonstrate that the controller architecture can enhance the robot impedance performance effectively.