内嵌闪存MCU的高性能多通道24位采集系统ADuC845

ADuC845是ADI公司新推出的嵌有单指令周期8052闪存MCU、带两路24位∑ -△A/D、双12位D/A以及两个灵活脉宽调制输出的高性能24位数据采集与处理系统芯片。该芯片的数据处理速度达12MIPS,且设计简单 ,噪声低 ,非常适用于精密仪器仪表。文中详细介绍了该芯片的功能特点和工作原理 ,给出了该芯片的应用方法。     

A-6A甲胺合成催化剂使用总结

安阳九天化工集团甲胺/DMF(二甲基甲酰胺)工程是河南省重点建设项目.装置采用先进的甲醇和液氨气相催化胺化法生产混甲胺.一期工程30 kt/a 甲胺/DMF装置于2003年10月建成投产,其合成催化剂选用的是上海石化研究院生产的A-6A甲胺合成催化剂,从投产到现在,合成催化剂共更换了4次,催化剂平均使用寿命为13个月,共生产混甲胺112 kt,达到国内领先水平.     

使用地热能的吸收式制冷系统

吸收式制冷系统可以利用低品位的热源来制冷，相对于常见的蒸汽压缩式制冷系统而言在这方面具有优势。我国是一个地热资源很丰富的国家，为了充分利用这一资源，我们有必要对以地热为热源的吸收式制冷系统进行研究。本文着重分析了使用地热资源的溴化锂吸收式制冷系统。     

新打包机接地系统改进

针对贵溪冶炼厂建安公司新紫杂铜打包机不良状况及存在的问题进行了改进 ,对整台机组的总配电箱、液压管网、设备的保护接地及建筑主体框架也进行接地。     

Computer aided kinetic modeling with KMT and KME

The complexity of many chemical and refining reaction systems and the thus-derived tedious and time-consuming process of building the associated kinetic models have been major obstacles in the use of fundamental kinetics in the solution of chemical engineering problems. This review summarizes work aimed at removing theses obstacles. Our recent work that has led to the enhancement of the Kinetic Modeler's Toolbox (KMT) and the development of the Kinetic Model Editor (KME) presents an end-to-end solution to the kinetic modeling process, including automated feedstock modeling, reaction network construction, kinetic rate estimation, model programming, process system configurations, model customizations, compilations, model execution and results analysis.     

双机械臂协调：以运动学为基础的模型分析与动态补偿控制方法

本文建立了双机械臂协调系统的主从式控制的非结构模型，并针对两臂具有相同特性和不同特性这两种情形作了稳定性分析，提出特性校正的方法，本文还利用内模原理设计出动态补偿器来克服标定约束的不确定性对系统控制品质的影响，最后给出了实验结果。     

An efficient controller structure with minimum roundoff noise gain

Based on a polynomial operator approach, a new sparse controller structure is derived, which is actually an improved version of the recently proposed structure [Li, G. (2004). A polynomial-operator-based DFIIt structure for IIR filters. IEEE Transactions on Circuits and Systems II, 51, 147-151]. The performance of the proposed structure is analyzed by deriving the corresponding expression of roundoff noise gain and the problem of finding optimized sparse structures is solved efficiently with a genetic algorithm (GA). A numerical example is given, which shows that the newly developed structure can achieve much better performance than some well-known structures and particularly outperforms the traditional optimal fully parametrized realization greatly in terms of reducing roundoff noise and implementation complexity.