新型汽车集成电路电压调节器

国内现行的电子电压调节器,基本上都选用了仿国外早期产品的电路(见图1所示),在电路设计上,影响产品性能的因素很多。门限电路由R_1、R_2、RTH、RA、C_1、DZ_1和R_3组成,其中某一元件的质量和精度都直接影响电压的调节精度。影响最明显的是齐纳二极管DZ_1。其击穿电压值在批量产品中离散性(误差)较大。以6V管为例:一般国产品为±10%。即使试制样品时,可达到一定的精度,但在批量生产时,问题就显得很严重。其次对门限电路中的电阻来讲,所选用的碳膜电阻的误差精度为±5%(单个),但在产品的批量生产时的     

TM1500防水剂的性能及其在混凝土梁上的应用

结合铁路混凝土梁的特点，探讨了将新型防水材料－ＴＭ１５００混凝土防水剂用于混凝土梁表面防水，防护的可行性，总结了工程应用的经验与效果。     

适应老码头的6000 t/h装船机的总体设计及轮压控制

首钢秘铁6 000 t/h装船机是用于老码头扩容改造项目的新设备.这台装船机总体设计的难点在于减轻自重及轮压控制,以满足老码头的轮压要求.该设备的研制成功,为类似的老码头的技术改造积累了经验.     

浅谈“公交”与“公关”

公共关系学是一门综合性的应用科学，而公交是指城市范围内定线运营的公共汽车以及轨道交通、渡轮、索道等交通方式，也指从事该行业营运的主体单位。两者貌似毫无联系，实则不然。本文作者结合工作实际中的感触，谈谈公交企业如何搞好公共关系的些许感悟。     

基于自适应平方根 CKF 的多传感器混合融合算法(英文)

In the normal operation condition, a conventional square-root cubature Kalman filter (SRCKF) gives sufficiently good estimation results. However, if the measurements are not reliable, the SRCKF may give inaccurate results and diverges by time. This study introduces an adaptive SRCKF algorithm with the filter gain correction for the case of measurement malfunctions. By proposing a switching criterion, an optimal filter is selected from the adaptive and conventional SRCKF according to the measurement quality. A subsystem soft fault detection algorithm is built with the filter residual. Utilizing a clear subsystem fault coefficient, the faulty subsystem is isolated as a result of the system reconstruction. In order to improve the performance of the multi-sensor system, a hybrid fusion algorithm is presented based on the adaptive SRCKF. The state and error covariance matrix are also predicted by the priori fusion estimates, and are updated by the predicted and estimated information of subsystems. The proposed algorithms were applied to the vessel dynamic positioning system simulation. They were compared with normal SRCKF and local estimation weighted fusion algorithm. The simulation results show that the presented adaptive SRCKF improves the robustness of subsystem filtering, and the hybrid fusion algorithm has the better performance. The simulation verifies the effectiveness of the proposed algorithms.