改进粒子群算法的自动阻抗匹配技术

由于无线电能传输距离的改变或谐振线圈之间发生偏移、负载改变等多方面的影响使系统的输入阻抗发生变化,导致输入阻抗与射频源内阻不匹配,使传输效率大幅下降。在射频源和发射线圈之间加入阻抗匹配网络可以提高无线电能的传输效率。为了提高阻抗匹配的精度和速度,提出了一种改进的粒子群算法。重点将改进算法和传统算法进行仿真实验比较,证明了改进算法在匹配精度和速度方面的优越性。最后将该算法嵌入到自动阻抗匹配系统中,提高了无线电能的传输效率,同时证明了所提算法的有效性。     

模糊控制系统的垂直切换判决算法分析

针对模糊控制系统中切换时延较长和切换次数较多的问题,研究了一种基于模糊控制系统的垂直切换判决算法。在基于信号强度判决时将RSS作为门限值,提高系统判决能力;同时,将网络参数和服务类型作为判决因素,结合层次分析法引入并行的模糊控制系统,缩短了切换判决的时间、选择适合用户的最佳网络,做出垂直切换。仿真结果表明,该算法减少了切换次数,降低了切换时延,增强了系统的性能。与传统的切换算法相比较,该算法对切换的判决因素考虑的更全面,兼顾了用户终端的使用环境及成本问题,有效地保证了网络的服务质量。     

粮虫在线检测图像的Daubechies小波压缩算法

当采用嵌入式设备实现一个在线粮虫图像检测系统时,由于嵌入式系统硬件资源的不足及存储空间的限制,传统图像压缩算法通常无法满足实时图像处理的要求。针对这些问题,在ARM9 S3C2440嵌入式平台上提出了一种改进后的新型小波变换算法。通过改变传统算法过程中浮点数据的整型化,在有效保留传统小波算法优点的同时降低了算法复杂度。本文改进小波三级压缩算法与传统JPEG算法的在S3C2440嵌入式平台上的比较试验表明,在压缩时间、峰值信噪比等主要性能防线,本文算法均优于传统算法,非常适用于采用嵌入式平台的实时粮虫图像处理系统。     

基于FM信号的外辐射源雷达组网系统多传感器选择算法

提出一种基于调频广播（FM）信号的外辐射源雷达组网系统多传感器快速启发式算法,目的是使系统能够动态地协调各部FM信号接收机的使用,进而在资源有限的条件下达到更好的目标参数估计性能。该算法采用相干克拉美罗界（CRLB）作为代价函数,并通过贪婪快速启发式算法对优化问题进行了求解。仿真结果表明,所提算法不仅可以在系统资源有限的情况下提升目标的参数估计性能,而且可以大大减小计算量,具有很强的实用性。     

油脂远程监管系统在外租仓管理上的应用

外租储油罐安装油脂远程监管系统,可对油脂实现远程动态监管,实时掌握每个外租库油罐储油数量、温度、油液高度等数据,数量变化的灵敏度达到1‰,误差率小于2‰,并在数量异常变化时进行主动预警,实现无人值守,减轻监管人员劳动强度,提高监管管理技术水平。     

基于PLC的食品烘干箱温度控制系统设计与试验

对粮食或食品进行烘干处理有利于运输、储存与后续加工,而在干燥过程中对温度的控制非常重要。为对比不同算法在温度控制方面的差异,使用西门子S7-200 SMART可编程逻辑控制器（Programmable logic controller,PLC）进行程序设计,并采用昆仑通态触摸屏实现人机交互。同时,为达到提高温度控制精度的目的,通过对传统比例-积分-微分（Proportion-integral-derivative,PID）控制算法与模糊控制算法进行改进,设计了模糊PID复合控制算法和模糊PID切换控制算法。采用梯形图语言对上述4种控制算法进行编程,并进行PLC控制烘干箱的试验验证。结果表明,新设计的模糊PID复合控制算法和模糊PID切换控制算法均在一定程度上反映了其结合要素各自的优点,能有效克服传统PID控制算法动态特性差和模糊控制算法稳态特性差的缺点。当温度由30 ℃升至设定温度72 ℃时,与模糊PID切换控制算法相比,模糊PID复合控制算法能将调节时间缩短6 s,且稳态误差减小0.1 ℃。     

利用频域有限元法分析内嵌管式辐射地板频域热特性

分析内嵌管式辐射地板的频域热特性,便于进一步了解内嵌管式辐射地板的动态热特征,为辐射地板的系统和控制设计提供重要的参考依据。建立了内嵌管式辐射地板的频域有限元模型,同时采用ANSYS软件建立了内嵌管式辐射地板的时域传热模型,通过2个模型的对比说明了频域有限元模型的准确性。采用频域有限元模型计算并分析了内嵌管式辐射地板的频域热特性。结果表明,在低频区域,地板的频域热响应基本不随频率变化,其传热过程接近于稳态,而在高频区域,地板的频域热响应随频率的变化十分剧烈,地板传热呈现明显的动态特征。当房间内存在较多成分的高频热扰时,关于辐射地板的传热计算应采用动态计算方法。     

无线网络接入点TCP流时间公平性

对无线网络接入点上下行TCP流存在的时间不公平性现象进行了研究,报告了无线网络接入有线网络存在的拥塞控制问题现状,提出了一种的无线网络TCP流公平调度算法。采用快速的TCP流优先发送方法,既保证了各流吞吐率公平性,又解决了慢速的TCP占用信道时间过多的问题,实现了各流占用信道的时间公平性。通过网络仿真实验证明,新的公平调度算法比传统的算法在性能上有较大的改进,达到了提高网络整体效率的目的。     

流量可调燃气发生器压力闭环模糊控制算法

为了改进流量可调燃气发生器的调节精度,引入燃气发生器压力闭环控制,针对流量可调燃气发生器压力闭环控制特点,在压力闭环中引入了模糊积分控制,此控制算法响应速度快,超调量较小,不同工况及长时间工作下系统仍然有较好的动态特性。      

鲁东南杨树人工林根际微生物数量时空动态

为了探讨杨树人工林根际微生物对环境变化的响应,对鲁东南杨树人工林根际微生物数量时空变化、根际效应及其与土壤养分的相关性进行了研究。结果表明：根际细菌、真菌、放线菌数量和微生物总数均呈“增—减—增—减”的季节变化模式,即春秋高,夏冬低。根际微生物数量以细菌最多,放线菌次之,真菌最少。细菌、放线菌数量和微生物总数随林龄的增加而增加,真菌数量随林龄的增加而减少。除0~10 cm外,根际微生物数量的垂直分布总体上表现为随土层加深而逐渐减少。杨树人工林细菌、真菌、放线菌数量和微生物总数存在明显的根际效应,根际效应均呈显著的单峰季节变化,8月达到峰值。根际细菌、真菌、放线菌和微生物总数与根际土壤水解N、速效P均呈正相关,与土壤有机质呈反相关关系。     

A charge balance control algorithm of dual-transistors forward converter

An algorithm is proposed for dual-transistors forward converter (DTFC) by using the principle of charge balance control during a transient process to improve their dynamic performance. Combined with response curve,the theoretical analysis and some key equations are presented to improve the dynamic performance of the DTFC by minimizing the over/under shoot and the recovery time. In order to avoid the magnetic saturation of the transformer,an approximate method is introduced in the calculation of the optimal switching time,which can also be applied to other isolated converters when the maximum duty cycle is limited. Finally,the simulation results and the experimental results of the prototype show that,compared with the traditional voltage mode control,the proposed algorithm can significantly improve the dynamic performance of DTFCs.     

A fuzzy logic multicasting algorithm for ad hoc networks

To increase the multicasting efficiency of Ad hoc networks, a fuzzy logic multicasting algorithm (FLMA) is proposed. FLMA adopts the fuzzy logic to tolerate the imprecise information caused by dynamic network topology. The two input variables of the fuzzy logic system are the relative degree of the additional coverage node number and the relative degree of the residual energy. The deferring time of rebroadcast is the output variable of the fuzzy logic system, which is used to optimize the priority of the nodes to rebroadcast. FLMA reduces the redundant retransmission and the chance of the contention and collision, while balances the energy consumption of the nodes. Simulation results reveal that the FLMA achieves better performance than BCAST in terms of the network lifetime, average end-to-end delay, the average number of drops per node and the throughput.     

Dynamic Identification System and Application

Novel and secure dynamic identification system comprises electrical tokens, a secure identification server, a management workstation and application Programming Interface. Dynamic password is generated with synchronous and asynchronous identification algorithms. Since there is no correlation between passwords, they cannot be predicted, traced, intercepted or decoded. Thus the reliability of identification is enhanced. This paper first introduces principles of synchronous and asynchronous identification based on time and events, and then gives a through analysis of security in dynamic identification techniques. A brief introduction is given about identification issues in current stock industry. With event-based synchronous identification as an example, we give a detailed introduction of dynamic identification techniques with the application in stock exchange and integration of identification system and client system.     

模式识别的斜拉桥损伤诊断动力指纹与识别算法

为有效并准确诊断出斜拉桥损伤,对基于模式识别的斜拉桥损伤诊断方法进行了研究。选取易于测试出的低阶模态频率和部分关键点竖向振型数据为动力指纹,无需模态扩展或模型缩聚。研究并采用全因子设计进行动力指纹库的创建,可精确评估设定的损伤因子及其交互作用对损伤识别结果的影响。设计并增加了带随机误差的动力指纹库样本集。编制了基于Matlab的模式识别的多种算法,重点研究了精确度高的多层感知器识别算法及其提高该算法预测准确率的装袋集成算法。最后给出一座单塔双跨双索面斜拉桥的多种识别算法的损伤诊断过程和结果,得到一种可包容测试随机误差的高精确度斜拉桥损伤诊断评估模型。     

Least-square-based Optimization of Frequency Response Function Estimation in Modal Parameters Identification

The accuracy of modal parameters identification has the influence on the quality of dynamic characteristics analysis of mechanical structure directly. And the precision of the frequency response function estimation has the great influence on the accuracy of modal parameters identification. In the engineering the frequency response function can be estimated by the average power spectrum and cross-power spectrum with the hel Pof FFT. As the result of limited frequency resolution in the course of FFT and the noise, the accuracy of modal parameters identification is influenced by the frequency response function estimation. This paper has put forward a least-square-based optimization of frequency response function estimation in modal parameters identification. According to the optimized frequency response function, the peak value can be searched to identify the damped natural frequencies and damping ratio directly. An experiment has been made to validate the proposed method. The result indicates that the damped natural frequencies and damping ratio identified by the optimized frequency response function are closer to the true results than which without the optimized frequency response function. So the accuracy of modal parameters identification can be improved by adopting the proposed method.     

Parallel algorithm for association rules in cluster

Based on comparing with the existing parallel algorithms for mining association rules, the paper analyzes CD,FDM,DDM algorithm in details. To overcome problems existing in efficiency of candidate sets pruning and execution time of these algorithms, the paper proposes parallel process algorithm with an improved parallel association rules. Finally the result of test on share-nothing cluster of workstation show that after adopting the improved algorithm, execution performance and efficiency are higher than others. This result indicates that the algorithm has achieved algorithm optimization.     

基于人工智能的温室环境控制算法

温室环境控制系统的最大特点是控制对象的精确数学模型很难建立。文章将常规PID控制算法与现代控制理论相结合,对常规PID算法进行改进,得到新型MPT控制算法,并加入模糊控制算法规则,在误差大时,运用模糊算法进行调节,以彻底消除PID饱和积分现象,当误差较小时,采用改进后的PID算法控制输出。同时加入了自适应调节规则和自整定专家系统,建立了基于人工智能的温室环境控制算法。将此算法应用于温室环境控制。系统具有无超调和控制精度高等特点。     

Analysis of model-following control for multi-axle steering vehicle

The dynamic model of multi-axle steering vehicle is improved by considering the impact of the front-axle mechanical steering on the vehicle steering performance and implying the front-axle wheel angle in control variables to reduce the difficulty of vehicle control. On the basis of modified dynamic model, the multi-axle vehicle is analyzed by combining model-following method with pole assignment process. The transient response and frequency domain characteristics of the yaw angle velocity and sideslip angle at different speeds are obtained. The results indicate that, using model-following method to control vehicle can obtain desired tracking effects. At high speed, the transient response has no overshoot, the response time is shortened, and the stability of vehicle is improved.