SolidWorks Enterprise PDM与IRIS体系的完美融合

本文以某铁路设备企业为背景,介绍了SolidWorks Enterprise PDM融合国际轨道交通工业标准在该企业的应用。     

无级变速器速比控制仿真研究

无级变速传动装置(CVT)的速比连续变化特性可以使发动机转速工作在理想状态下,一直以来都是无级变速系统的核心控制问题.通过对发动机试验数据的整理,获得发动机最佳经济性(动力性)目标转速图.分析无级传动系统的工作原理,建立其动力学微分方程,并基于Matlab/Simulink工具箱搭建仿真模型和设计速比控制算法,并仿真计算汽车在给定加油门起步、减油门行驶和高速制动三种典型行驶工况下的动态响应,最后由试验验证模型的正确性.结果表明设计的无级变速控制策略和模糊PID控制方法可以实现速比的合理变化,为进一步开发无级变速器的控制策略提供必要的前期准备.     

模糊+经典复合控制在光电稳瞄平台中的应用

依托于光电稳瞄平台的理论模型来进行实测频率特性的系统辨识,由此建立与理论和实测模型均较吻合的系统仿真模型.并针对光电稳瞄平台的系统要求和应用特性设计了模糊＋经典复合型控制方法.经典方式的零极点配置控制器低频增益高、系统稳态误差小.实际应用表明：光电稳瞄平台的隔离度达到了1%以内,实测的系统稳像精度达到较高的指标要求.二维模糊控制器可减小系统超调、缩短系统响应时间、并适当提高系统响应带宽,采用智能协调器切换经典控制器和模糊控制器,使系统的隔离度小于1%的同时,将超调从50%减少到4%,达到较好的控制效果.     

Robust tracking control for micro machine tools with load uncertainties

The quality of the micro-mechanical machining outcome depends significantly on the tracking performance of the miniaturized linear motor drive precision stage. The tracking behavior of a direct drive design is prone to uncertainties such as model parameter variations and disturbances. Robust optimal tracking controller design for this kind of precision stages with mass and damping ratio uncertainties was researched. The mass and damping ratio uncertainties were modeled as the structured parametric uncertainty model. An identification method for obtaining the parametric uncertainties was developed by using unbiased least square technique. The instantaneous frequency bandwidth of the external disturbance signals was analyzed by using short time Fourier transform technique. A two loop tracking control strategy that combines the μ-synthesis and the disturbance observer (DOB) techniques was proposed. The μ-synthesis technique was used to design robust optimal controllers based on structured uncertainty models. By complementing the μ controller, the DOB was applied to further improving the disturbance rejection performance. To evaluate the positioning performance of the proposed control strategy, the comparative experiments were conducted on a prototype micro milling machine among four control schemes: the proposed two-loop tracking control, the single loop μ control, the PID control and the PID with DOB control. The disturbance rejection performances, the root mean square (RMS) tracking errors and the performance robustness of different control schemes were studied. The results reveal that the proposed control scheme has the best positioning performance. It reduces the maximal errors caused by disturbance forces such as friction force by 60% and the RMS errors by 63.4% compared with the PID control. Compared to PID with DOB control, it reduces the RMS errors by 29.6%.     

Parameter identification of inertially stabilized platforms using current command design

Accurate parameter identification is essential when designing controllers for inertially stabilized platforms (ISPs). But traditional identification methods suffer from observation measurement noise and operating restrictions of ISPs. To address this issue, a novel identification method based on current command design and multilevel coordinate search (MCS) algorithm without any higher order measurement differentiations was proposed. The designed current commands were adopted to obtain parameter decoupled models with the platform operating under allowable conditions. MCS algorithm was employed to estimate the parameters based on parameter decoupled models. A comparison experiment between the proposed method and non-linear least square method was carried out and most of the relative errors of identified parameters obtained by the proposed method were below 10%. Simulation and experiment based on identified parameters were conducted. A velocity control structure was also developed with disturbance observer (DOB) for application in disturbance compensation control system of an ISP. Experimental results show that the control scheme based on the identified parameters with DOB has the best disturbance rejection performance. It reduces the peak to peak value (PPV) of velocity error integral to 0.8 mrad which is much smaller than the value (10 mrad) obtained by the single velocity controller without DOB. Compared with the control scheme based on sweep model with DOB compensation, the proposed control scheme improves the PPV of velocity error integral by 1.625 times.     

基于线性光耦HCNR200的DSP采集电路设计与实现

介绍了Agilent公司的高线性度模拟光耦HCNR200的基本结构及工作原理。利用该器件设计了一种模拟信号与DSP隔离与检测的硬件电路，较好地解决了将AGC信号采集到DSP过程中测量范围小、线性度低的问题。最后用最小二乘法对实验数据进行分析，结果表明该电路具有较高的电压检测精度和线性度，在高稳定性、高线性度的模拟信号隔离的场合具有广泛的应用前景。     

精密柔索传动技术研究现状及分析

精密柔索传动是一种通过主、从动轮之间有适当预紧的传动介质来实现的挠性摩擦传动方式,具有布局灵活、高精度、轻量化等特点,在多种灵巧性精密机电装置和伺服机构中得到了广泛的应用。本文归纳了柔索传动技术在精密指向机构、人机交互机器人、跑步机器人、灵巧手和微创手术末端器械等方面的应用进展;总结了亟待解决的基础理论和应用研究相关问题,主要包括传动机理研究、伺服系统的应用研究、针对典型应用需求的工程设计方法研究等;最后,对进一步发展精密柔索传动理论分析与工程设计技术提出了建议。     

光电稳定跟踪平台中微机电陀螺滤波方法研究

根据微机电陀螺的实测数据,分析了其噪声特性,建立了微机电陀螺零漂的AR模型.研究了基于Kalman滤波的陀螺去噪算法,给出了去噪结果,分析了Kalman滤波不能够在微机电陀螺信号去噪中获得较好效果的原因.在此基础上,将基于阈值决策的小波去噪方法应用于微机电陀螺的信号处理中,给出了滤波结果.实测结果表明由于后者不依赖于噪声的精确模型,根据噪声在不同频段的统计特性采用阈值决策滤波,具有更好的抑噪效果.最后给出了两种滤波算法的比较结果.