DIGITAL POWER SYSTEM STABILIZER ( DPSS )

A digital power system stabilizer ( DPSS ) and its design method are presented in this paper. The mathematical model of a single machine infinite bus power system is obtained using off-line parameter identifications, and on the base of the identified model the control system is synthesized by generalized minimum variance control principles. Through feedback combination of several signals this control system has double functions of damping low frequency oscillation and automatic voltage regulating. In order to avoid static errors the very effective way is to combine discrete generalized minimum variance control with continuous integral control. Besides the proposed control strategy is very simple in structures and very easy to realize. Simulation results under several cases have shown the correctness and effectiveness of the proposed control strategy.     

The Control Strategy for the Excitation System of Asynchronized Turbogenerators

In this paper, the excitation principle and operating characteristics ofasynchronized turbogenerators are analyzed,and adaptive tracing iterative control strategy based on state identification is proposed. In order to apply this control scheme to practice engineering, some primary elements are analyzed and presented for constituting dual-channel automatic excitation control system of asynchronized turbogenerators. Finally, the paper presents the principle structure charts about excitation control system of asynchroized turbogenerators.     

Robust Adaptive Control Based on On-line Identification to Multi-parameters

In system controlled,Sampling these parameters and with parameters for controller in time, it is an object to adaptive control. The article presents a scheme that the structure parameters on it's model and model parameters is robust identified by on line, while to optimal of algorithm on adaptive control is fulfilled. In control scheme, method of intelligent identifying to the structure parameters(levels of model) and algorithm of robust pole placement are introduced also It is advancer for already mentioned scheme. Whole scheme presents new model on adaptive control.     

福建省甘薯种质资源鉴定与评价

征集甄别保存甘薯种质资源606份,编写出品种目录,拍摄了彩色图谱册;摸索出适合福建省气候特点的田间种植、薯块贮藏、老蔓越冬和茎尖脱毒试管苗4种方法相结合的安全保存方法;首次在相同条件下同时完成了对保存的品种资源抗蔓割病、薯瘟病的鉴定,8种主要营养成份的分析及鲜薯与薯干产量的测定,筛选出抗蔓割病资源212份、抗薯瘟病资源109份、高干率资源14份、高淀粉资源12份、高水溶性糖资源13份、高粗蛋白资源13份、高粗脂肪资源12份、低粗纤维资源12份、高维生素C资源12份、高胡萝卜素资源12份,初步摸清了这些品种的分布情况;应用Borlanddel-phi7.0为设计集成环境和通用SQL方式查询程序模块创建了资源数据库;建立了107份骨干资源圃。     

基于多信息融合的疫苗制备中鸡蛋胚体分拣系统

采用多信息融合方法研究疫苗制备中鸡蛋胚体状态的识别与分拣技术。在研究不同状态鸡蛋胚体图像特征、温度衰减和透光度变化情况的基础上,得出活胚图像中血管多、粗且呈放射状,弱胚图像中血管少、细且断裂,死胚图像内部均匀无血管,污染胚图像内部有明显黑块特征;鸡蛋胚体从37.8℃的孵化箱中取出置于25℃室温环境,活胚、弱胚、污染胚、死胚的温度衰减速度依次增大;活胚的透光度随孵化时间增加而逐渐降低,其他胚体透光度变化相对较小。将图像、温度、透光度信息特征融合,建立BP神经网络信息融合模型对鸡蛋胚体状态进行识别。最后,从37.8℃孵化箱中抽取80枚孵化6 d的鸡蛋胚体放置于室温10 min后,采集图像、温度和透光度信息,进行试验验证。结果表明多信息融合系统的识别准确率为96.25%,比单用图像、温度和透光度传感器进行识别的准确率分别提高了6.25%、13.75%和8.75%。     

354拖拉机与1.5m旋耕机配套性能分析

通过动力特性分析,解决了拖拉机动力输出轴转速高,输出扭矩较小,不能克服土壤对旋耕机的阻力矩,无法正常作业的问题.     

PA~4_（1010）和EP~1复合涂层及其表面改性犁壁的减粘降阻性能

试验研究了地面机械触土部件表面仿生改性涂层ＰＡ４１０１０（尼龙１０１０－Ａｌ２Ｏ３复合涂层）和ＥＰ１（环氧－Ａｌ２Ｏ３复合涂层）的减粘降阻性能，探讨了土壤含水量和推土板切削速度对其减粘降阻性能的影响，并通过犁耕试验考察了其表面改性犁壁的降阻效果     

模糊模式识别在车型分类中的应用

利用各种车辆通过环形线圈的感应曲线作为研究对象,用模糊识别理论进行车辆的特征提取及隶属度函数的建立,并在特征提取的基础上进行特征选取和匹配分类来进行车辆识别。     

东北地区种植业机械化水平的灰色关联辨识

发展农业机械化是东北老工业基地振兴的重要内容.为此,对现阶段东北地区种植业机械化装备水平、生产经济系统的投入产出状况以及环境状况进行了科学的分析,运用灰色关联分析方法对其进行系统的辨识,这对于东北农业的发展、增加农民收入、加快农村富余劳动力转移,优化农业和农村经济结构具有重要意义.     

燃料电池三点比较实时电阻匹配最大功率跟踪

依据最大功率传输理论以及燃料电池电气的特性,提出了一种适用于燃料电池的最大功率跟踪控制方法。该方法通过实时在线检测燃料电池工作点处的输出电压与电流并计算燃料电池的内阻和理想状态下欧姆极化区的开路电压,求解出最大功率点对应的电流型变换器的参考电流。通过控制变换器使燃料电池能够较为稳定地工作在燃料电池欧姆极化区的最大功率输出点处。当外界环境发生变化时,通过电流型扰动观察法完成对燃料电池的最大功率点跟踪。所提算法具有功率自校正功能,以减小算法本身对燃料电池功率输出的扰动。仿真结果表明:当负载或者工作环境发生变化时,该算法可以有效地跟踪燃料电池的最大功率点。