电压型逆变器输出电压检测与数字滤波方法研究

针对实时、准确地检测电压型逆变器输出电压基波比较困难的问题，从检测逆变器的直流支撑电压入手，提出了一种根据控制器的输出脉冲序列，利用ＤＳＰ进行实时计算逆变器输出电压基波瞬时输出值的新方案，试验结果证明了方案的可行性。     

汽车传动系统机械故障诊断方法的研究

本文针对汽车传动系统主要零部件的特点，研究了基于振动信号的故障诊断方法，包括特征提取、模式分类和诊断决策全过程。     

Using a random displacement model to simulate turbulent particle motion in a baroclinic frontal zone: A new implementation scheme and model performance tests

Numerical artifacts can limit accurate simulation of turbulent particle motion when Lagrangian particle-tracking models are implemented in hydrodynamic models with stratified conditions like fronts. Yet, modeling of individual particle motion in frontal regions is critical for understanding sediment dynamics as well as the transport and retention of planktonic organisms. The objective of this research was to develop a numerical technique to accurately simulate turbulent particle motions in a particle-tracking model embedded within a hydrodynamic model of a frontal zone. A new interpolation scheme, the ‘water column profile’ scheme, was developed and used to implement a random displacement model for turbulent particle motions. A new interpolation scheme was necessary because linear interpolation schemes caused artificial aggregation of particles where abrupt changes in vertical diffusivity occurred. The new ‘water column profile’ scheme was used to fit a continuous function (a tension spline) to a smoothed profile of vertical diffusivities at the x–y particle location. The new implementation scheme was checked for artifacts and compared with a standard random walk model using (1) Well Mixed Condition tests, and (2) dye-release experiments. The Well Mixed Condition tests confirmed that the use of the ‘water column profile’ interpolation scheme for implementing the random displacement model significantly reduced numerical artifacts. In dye-release experiments, high concentrations of Eulerian tracer and Lagrangian particles were released at the same location up-estuary of the salt front and tracked for 4 days. After small differences in initial dispersal rates, tracer and particle distributions remained highly correlated (r = 0.84 to 0.99) when a random displacement model was implemented in the particle-tracking model. In contrast, correlation coefficients were substantially lower (r = 0.07 to 0.58) when a random walk model was implemented. In general, model performance tests indicated that the ‘water column interpolation’ scheme was an effective technique for implementing a random displacement model within a hydrodynamic model, and both could be used to accurately simulate diffusion in a highly baroclinic frontal region. The new implementation scheme has the potential to be a useful tool for investigating the influence of hydrodynamic variability on the transport of sediment particles and planktonic organisms in frontal zones.     

新型单相IGBT机车空调逆变电源

针对内燃机车司机室使用单相空调，设计研制了１１０Ｖ／２２０Ｖ变换用ＩＧＢＴ单相逆变电源。该电源由ＰＷＭ高频升压斩波器及数字化控制ＳＰＷＭ逆变器组成，具有ＩＧＢＴ多重保护及机车抗ＥＭＩ特殊设计。试验结果表明：该电源能长期可靠地为２．２ｋＷ单相空调供电，具有６ｋＶＡ（５００ｍｓ）瞬时起动功率容量。     

基于模糊神经网络的氢燃料汽车发动机最优控制模型

在试验研究的基础上，提出了氢发动机的优化控制策略，建立以点火提前角、喷氢提前角和喷氢量为控制变量，分别以动力性、经济性为性能指标泛函，以模糊神经网络为求解工具的最优控制模型。     

The vehicle emissions and performance monitoring system: analysis of tailpipe emissions and vehicle performance

This paper describes tailpipe emission results generated by the Vehicle Performance and Emissions Monitoring system (VPEMS). VPEMS integrates on‐board emissions and vehicle/driver performance measurements with positioning and communications technologies, to transmit a coherent spatio‐temporally referenced dataset to a central base station in near real time. These results focus on relationships between tailpipe emissions of CO, CO₂, NO_x and speed and acceleration. Emissions produced by different driving modes are also presented. Results are generally as one would expect, showing variation between vehicle speed, vehicle acceleration and emissions. Data is based upon a test run in central London on urban streets with speeds not exceeding about 65 km/h. The results presented demonstrate the capabilities of the system. Various issues remain with regard to validation of the data and expansion of the system capability to obtain additional vehicle performance data.     

Simulating a rich ride-share mobility service using agent-based models

Transportation - Mobility as a Service (MaaS) is the integrated and on-demand offering of new mode-sharing transport schemes, such as ride-share, car-share or car-pooling. MaaS schemes may solve...     

基于模糊神经网络的氢燃料汽车发动机双模式控制系统

建立了以模糊神经网络控制器和点火提前角转速自适应控制器串联组成的开闭环相结合的双模式控制系统用以实现对控制变量的分级控制。改进的模糊神经网络模型进行的最佳点火提前角的仿真与试验结果的对比研究表明：该方法求解氢发动机的最优化控制模型具有令人满意的结果。     

Radar Emitter Signal Recognition Based on Complexity Features

Intra-pulse characteristics of different radar emitter signals reflect on signal waveform by way of changing frequency, phase and amplitude. A novel approach was proposed to extract complexity features of radar emitter signals in a wide range of signal-to-noise ratio ( SNR), and radial basis probability neural network (RBPNN) was used to recognize different radar emitter signals. Complexity features, including Lempel-Ziv complexity (LZC) and correlation dimension (CD), can measure the complexity and irregularity of signals, which mirrors the intra-pulse modulation laws of radar emitter signals. In an experiment, LZC and CD features of 10 typical radar emitter signals were extracted and RBPNN was applied to identify the 10 radar emitter signals. Simulation results show that the proposed approach is effective and has good application values because average accurate recognition rate is high when SNR varies in a wide range.     

轮式车辆双横臂独立悬架的运动优化设计

本文运用悬架设计理论和多目标优化理论来建立双横臂独立悬架的优化设计模型；并利用ＢｏｒｌａｎｄＣ＋＋面向对象程序设计技术及数据库技术，开发了轮式车辆独立悬架ＣＡＤ系统软件（ＩＳＣＡＤ）它使复杂的双横臂独立悬架导向机构的设计变得简单，设计结果准确。