Application of Incremental Genetic RBF NN in Converter Vanadium Recover

Converter vanadium recover is a very sophisticate reaction which is diverse and non- line. From the point of view of statistics and reaction mechanism, it is difficult to build up end- point control static model. Aim at this problem, the paper puts forward a model identify method based on incremental genetic RBF neural network to build up such a model, which can perfectly resolve the problem of random selection of RBF cluster center number and sample data clustering. Furthermore, in order to ensure structure of neural network to fit with continuous incremental data set, the paper presents a method of incremental data dealing, which is applied to amend the parameters of neural network. Then the request of continuous production is satisfied. Finally the result of test shows that after adopting the algorithm, the error of result is less than before and end- point hitting ratio satisfies to ninety percent. These indicate the algorithm has the engineering practicability.     

Soft-switching Analysis Phase-Shifted-FB-ZVS-PWM DC-DC Converter With Saturable Inductor

Compared with the traditional full-bridge(FB)zero-voltage-switched(ZVS) pulsewidth-modulated(PWM) converter, the FB-ZVS-PWM converter with a saturable inductor has a wider load range with ZVS and smaller circulating energy as well as smaller duty cycle loss. By analyzing the operation principle of the converter, this paper studies design considerations of the parameter bringing about ZVS and dead time of the switch, and gives out the design method, finally simulation testing has been carried out.     

Research on a Novel Inverter of VSC

In order to improve waveform performance of light HVDC system, a lot of switches which operate in high frequency are used, which causes large switching losses and results high cost. A new Buck type voltage source converter(BVSC) is proposed. The new BVSC comprises a dual-buck converter and a three-phase inverter operating in grid frequency. Only two high frequency switches are used, which results good output waveform performance. In order to reduce the high frequency switching losses, a novel improved double-frequency Buck type voltage source converter(DBVSC) is also proposed. An additional dual-Buck converter is added to the BVSC, the added dual-Buck converter deals with the fundamental power that operates in low frequency, and BVSC only deals with harmonic power that operates in high frequency. The output waveform is enhanced and the switching losses are reduced in DBVSC, and the power rating is also increased. The DBVSC is very suitable for large power rating application. The one cycle control theory is adopted to control the proposed DBVSC with analog circuit, which is very simple. The proposed DBVSC and control method are verified by simulation.     

汽车催化转化器起燃过程的数值模拟

应用CFD技术，采用大型的计算流体力学软件Fluent软件建立催化转化器数学模型，并对其起燃过程进行了数值模拟研究。结果表明：催化转化器起燃过程的数值模拟基本上反映了催化转化器起燃过程的实际情况，所得到的速度场、温度场、浓度场和压力分布趋势正确合理。     

利用补气提高催化转化器效能的研究

进行了补气量对催化转化器降低二冲程小型汽油机排放影响的试验。对补气系统的结构参数如补气管及补气阀进气管尺寸，补气孔位置进行了试验与调整，以达到最佳降排放效果，试验结果表明，补气对于利用催化转化器降低二冲程小型汽油机排放非常重要，且补气量存在一最佳值，各结构因素都会对排放造成重要影响。应合理选取。     

连续投影算法融合信息熵选择霉变玉米高光谱特征波长

运用高光谱技术鉴别玉米霉变等级时,因光谱波段数多、数据量大、信息冗余度高,使鉴别工作难度加大。为了减少数据量,获得最有利于鉴别的高光谱信息特征波长,本研究提出了一种连续投影算法(SPA)融合信息熵的特征波长选择方法。首先,对霉变玉米样本高光谱数据运用多元散射校正(MSC)进行光谱预处理以消除噪声,然后利用SPA对处理过的光谱进行波长初选,得到8个初选特征波长,再通过信息熵原理处理初选特征波长下的图像信息,获得最佳特征波长。结果表明,运用SPA融合信息熵法得到有利于霉变玉米鉴别的最佳波长为819 nm,提取该波长下霉变玉米图像的纹理特征后,采用Fisher判别分析(FDA)进行鉴别,6个等级霉变玉米的鉴别正确率高达98.6%,充分证明所给出的特征波长选择方法是有效的。本研究特征波长选择方法可为更好地运用高光谱技术鉴别玉米霉变等级提供指导。     

基于P87LPC764的温室智能温度计的研制

针对一般温室内温度测量电路设计复杂、温度测量与温度控制分离等缺点，以Philips公司生产的P87LPC764为核心器件，以软件方法代替硬件电路，研制了智能化、便携式的数字温度计，实现了对定点温度的采集、处理及控制信号输出。     

基于终端滑模和扰动观测的Buck型变换器复合控制技术

目前功率变换器的控制方法以纯状态反馈为主,当干扰较大时一般需要通过较大的增益来抑制干扰的影响,而高增益控制器通常会影响闭环系统的动态或稳态性能。为进一步提高Buck型变换器控制系统的动态和稳态性能,提出了一种基于非奇异终端滑模控制方法和扰动观测技术的复合控制方案。首先,考虑外界干扰、系统不确定以及参数变化的影响,建立Buck型功率变换器的平均状态模型;其次,基于非奇异终端滑模控制方法,设计滑模控制器,实现Buck型变换器的基本电压调节功能;最后,利用扰动观测技术,构造非线性扰动观测器实现对扰动的观测,并将扰动观测值作为前馈与状态反馈结合形成复合控制,进一步改善了系统的性能。仿真和实验验证了所提方法的有效性。     

不同光照处理对金枪鱼新鲜度的影响

以冷藏金枪鱼前腹肉为试材,托盘包装后置于4℃冷柜中,经700 Lux光照强度的不同光源(红光(波长630 nm)、绿光(波长530 nm)、紫光(波长400 nm))照射处理4 d后测定L~*值等理化指标。结果表明,不同光源照射对金枪鱼新鲜度的变化有显著影响,供试波长越长,越有利于保持冷藏金枪鱼的新鲜度;红光照射的效果最好,可考虑做为金枪鱼展柜的光源;红光照射金枪鱼4 d后的L~*值、a~*值、硫代巴比妥酸反应产物(TBARS)值、高铁肌红蛋白(Met Mb)相对百分含量和鱼肉鲜度K值分别为32.27、7.11、0.89 mg/100 g、30.34%和12.96%。     

光波长、刺激时长和性别结构对龟纹瓢虫趋光性的影响

为揭示天敌昆虫趋光性中光源因子与虫源因子的作用,采用室内多向行为选择方法研究光波长、刺激时长和性别结构对龟纹瓢虫Propylea japonica趋光性的影响。结果显示:在365～630 nm波长范围内,光波长对龟纹瓢虫雌雄性比为1∶1的两性种群的趋光性有显著影响,其对365 nm处紫外光的趋光率最高,为27.90%;对625～630 nm处红光的趋光率最低,为6.50%。在120 min范围内,光刺激时长对龟纹瓢虫雌雄性比为1∶1的两性种群的趋光性有显著影响,且该影响与光波长有关。利用紫外光刺激龟纹瓢虫雌雄性比为1∶1的两性种群5 min时的趋光率(41.07%)显著高于其它刺激时长处理,且其它处理之间均无显著差异。随着光刺激时长的增加,龟纹瓢虫雌雄性比为1∶1的两性种群对紫外光、蓝光短波长的趋光率降低,对红光和黑暗处理的趋光率增加。在紫外光、蓝光、绿光及橙光处理下性别结构对龟纹瓢虫有显著影响,雌性单性种群偏嗜紫外光和绿光;雄性单性种群偏嗜绿光和橙光;雌雄性比为1∶1的两性种群偏嗜紫外光、蓝光和橙光。表明光波长是龟纹瓢虫趋光性的核心诱因,性别结构及光刺激时长具有重要的协同调控作用。