新型平面直线驱动系统及其在机器人末端操作器中的应用

研制了一种机器人微驱动末端操作器用新型二自由度平面直线驱动系统 ,该二自由度电动机由于在X及Y方向采用共用永磁体的结构 ,与传统电机系统比较具有较高的性能体积比 ,应用于实际操作器系统中取得良好的效果     

基于比例阀的气动伺服系统神经网络控制方法的研究

研究了用神经网络PID控制器对基于比例阀的气动伺服系统进行控制的方法。用神经网络辨识器来逼近非线性动力学系统,并在线修改控制参数。实验及分析表明,适当的选择网络参数,经过充分的离线训练,该控制器可以进行在线的自适应控制,系统的控制精度和动态特性有明显提高,且在环境参数变化时,控制器具有在线自学习和自整定参数的能力。     

基于约束发电商市场力的高低匹配竞价机制仿真

在发电侧电力市场双边竞价过程中,为了约束发电商的市场力,提出一种基于双边合同的高低匹配竞价机制,并构建了与现实情况接近的基于Swarm的多agent仿真模型.在agent的博弈过程中,agent具有自治能力,可以采取学习博弈方法,充分利用所获取的信息,在竞价过程中不断修正其价格和电量的申报策略.通过对南方某电力市场的仿真,发现在任何市场中发电商都可以通过减少上网容量策略,提高市场成交价格,以实施市场力,但在供大于求的市场中,其市场力的范围要弱于供小于求的市场.引入双边合同的高低匹配竞价机制可以把发电商的市场力约束在一个更小的范围内,且采用容量标准判断发电商是否实施市场力比价格标准更加有效.     

曲线螺旋叶片冷拉伸修复技术在粗颗粒分离机的应用

分析介绍在韶钢第三炼钢厂水处理污泥粗颗粒分离机螺旋叶片上应用的快速成功修复技术及取得的良好应用效果。经现场安装、调试运行证明,此修复技术可靠、可行,为公司节约了高额的设备采购费用。     

电动汽车动力电池温度在线估计方法

电动汽车动力电池内部复杂的电化学反应容易受到环境温度的影响,造成电池功率和容量特性的衰减。为了准确估计电池温度变化,提出基于热平衡方程的电池温度在线估计方法,生热部分考虑可逆的熵变生热和不可逆的过电势生热对总体生热的影响,散热部分考虑电池与外界环境的热交换。采用一阶等效电路模型结合扩展卡尔曼滤波实时在线估计模型参数,并利用热平衡方程获得的电池温度递推公式,根据前一时刻电池温度估计当前时刻电池温度。采用联邦城市行驶工况(FUDS)实验对所提方法进行验证,结果表明,所提出的电池温度在线估计方法在电池运行过程中能够实时准确估计电池温度,估计误差在1℃以内。     

A new state of charge determination method for battery management system

State of Charge (SOC) determination is an increasingly important issue in batter)., technology. In addition to the immediate display of the remaining battery capacity to the user, precise knowledge of SOC exerts additional control over the charging/discharging process which in turn reduces the risk of over-voltage and gassing, which degrade the chemical composition of the electrolyte and plates. This paper describes a new approach to SOC determination for the lead-acid battery management system by combining All-balance with an EMF estimation algorithm, which predicts the battery‘ s EMF value while it is under load. The EMF estimation algorithm is based on an equivalent-circuit representation of the battery, with the parameters determined from a pulse test performed on the battery and a curve-fitting algorithm by means of least-square regression. The whole battery cycle is classified into seven states where the SOC is estimated with the Ah-balance method and the proposed EMF based algorithm. Laboratory tests and results are described in detail in the paper.     

Fault detection and diagnosis of permanent-magnetic DC motors based on current analysis and BP neural networks

In order to guarantee quality during mass serial production of motors, a convenient approach on how to detect and diagnose the faults of a permanent-magnetic DC motor based on armature current analysis and BP neural networks was presented in this paper. The fault feature vector was directly established by analyzing the armature current. Fault features were extracted from the current using various signal processing methods including Fourier analysis, wavelet analysis and statistical methods. Then an advanced BP neural network was used to finish decision-making and separate fault patterns. Finally, the aeeuracy of the method in this paper was verified by analyzing the mechanism of faults theoretically. The consistency hetween the experimental results and the theoretical analysis shows that four kinds of representative faults of low power permanent-magnetic DC motors can be diagnosed conveniently bv this method. These four faults are brush fray, open circuit of components, open weld of components and short circuit hetween armature coils. This method needs fewer hardware instruments than the conventional method and whole procedures can be accomplished by several software packages developed in this paper.     

串-并补偿结构大功率感应充电系统谐振变换器

通过互感模型建立了一、二次侧分别采用串联与并联补偿结构的一次端口等效电路[9,10],依据谐振特性表达式提出了一次侧品质因数的设计准则。控制策略上采用变频控制方式,应用状态机结构控制一次侧谐振电流极值,确保谐振变换器工作在谐振频率附近,从而使得在无需获得二次侧信息的情况下即可保证系统最大功率传输。最后,设计了一台功率25kW、气隙12mm的感应充电系统,并通过实验验证了所提出控制方法的可行性。     

载波频率成分法估算IPMSM转子位置的误差分析

研究了一种利用PWM逆变器载波频率成分信号进行内置式永磁同步电机(IPMSM)转子位置估算的方法。逆变器应用三相三角载波SPWM调制方式,通过检测载波频率成分电流(CFCC)的包络线估算出电机的转子位置。分析了电机转速、直流母线电压、逆变器载波频率等因素对转子位置估算误差的影响。实验结果表明,该方法能够实现对电机转子位置的准确估算,所构建的IPMSM无位置传感器矢量控制系统具有良好的动、静态性能。在此基础上对影响转子位置估算误差的相关因素进行了仿真和实验验证,结果证明了理论分析的正确性。     

基于改进支持向量回归的锂电池剩余寿命预测

锂离子电池凭借其优越的性能广泛用于电动汽车及储能领域.然而,随着使用时间增加,锂离子电池性能大幅度衰退,会间接导致设备性能衰退或发生故障.因此,准确预测锂离子电池剩余有效寿命(RUL),能够对电池进行及时维护和更换,保障电池安全可靠运行.该文从充电过程中提取能够表征电池性能退化的间接健康因子,并利用Pearson和Sp...