光纤拉丝生产中影响POD的因素

讨论了在光纤拉丝生产过程中，影响内涂层直径（POD）的几个重要因素。     

减阻水溶液槽道湍流特性POD分析

为进一步分析减阻水溶液湍流减阻机理,对质量分数为30×10-6十六烷基三甲基氯化铵(CTAC)水溶液槽道湍流减阻流动进行了实验研究,并基于本征正交分解方法研究减阻水溶液流动中减阻剂对流动结构的影响．结果表明:CTAC水溶液流动在不同雷诺数(15×10⁴、25×10⁴和35×10⁴)下分别具有651％、700％和330％减阻效果;基于本征正交分解方法分析湍流脉动速度场,发现CTAC添加剂能够抑制湍流猝发过程中的低速流体的上喷及高速流体的下扫,即在一定程度上抑制了相干结构的发生及其发展过程,最终导致湍流减阻．     

Large eddy simulation and proper orthogonal decomposition analysis of turbulent flows in a direct injection spark ignition engine: Cyclic variation and effect of valve lift

Large eddy simulation(LES)is used to calculate the in-cylinder turbulent flow field in a direct injection spark ignition(DISI)engine.The computations are carried out for three different maximum valve lifts(MVL)and throughout 100 consecutive engine cycles.The simulated results as well as corresponding particle image velocimetry(PIV)measurement database are analyzed by the proper orthogonal decomposition(POD)method.Through a new developed POD quadruple decomposition the instantaneous in-cylinder flow fields are decomposed into four parts,named mean field,coherent field,transition field and turbulent field,respectively.Then the in-cylinder turbulent flow characteristics and cycle-to-cycle variations(CCV)are studied separately upon the four part flow fields.Results indicate that each part exhibits its specific characteristics and has close connection with others.The mean part contains more than 50%of the total kinetic energy and the energy cascade phenomenon occurs among the four part fields;the coherent field part possesses the highest CCV level which dominates CCV of the bulk flow.In addition,it is observed that a change in MVL affects significantly the in-cylinder flow behavior including CCV,especially for the coherent part.Furthermore,the POD analysis demonstrates that at least 25 sample cycles for the mean velocity and 50 sample cycles for the RMS velocity are necessary for obtaining converged and correct results in CCV.     

外源NO和ABA对杨树气孔运动和SOD及POD活性的影响

研究了外源NO和脱落酸(ABA)对杨树气孔运动和SOD、POD活性的影响。结果表明：NO和ABA均可诱导杨树叶片气孔关闭，且NO有加强ABA诱导气孔关闭的作用。NO清除剂(C—PTIO)能显抑制NO和ABA对气孔关闭的诱导效应。不同浓度硝普钠(SNP)和ABA处理杨树离体叶片，SOD活性变化不明显，POD活性受到显抑制。粗酶液的体外实验结果表明，不同浓度SNP对POD活性的抑制呈明显的浓度及时间效应；而ABA对POD活性则几乎没有影响。说明在ABA调控气孔运动的过程中需要NO的参与，由此推测ABA对杨树叶片气孔运动的调节与NO对POD的抑制有关。     

Knowledge domain states mapping concept for controller tuning in an interconnected power network

This paper presents novel power system stabilizers (PSS) tuning approach with particles swarm optimization (PSO) driven knowledge domain states mapping for multi area power system. Tuning of PSS parameters has been done by PSO technique offline at different operating conditions as load dynamics change. The objective function for PSS parameters tuning is integral time multiplied by absolute error (ITAE). The sets of tuned parameters at different operating conditions thus obtained are termed as knowledge domain. The process is viewed as knowledge domain mapping. The dynamical system response has been linked with states, and if there is any violation from desired limits, control action is initiated and thus retuned control parameters obtained straight away from the respective knowledge domain helps to provide quick response and precise damping of signals of interest. Proposed concept also demonstrates that if one controller (PSS) fails to stabilize the system at certain operating condition then another controller (UPFC) connected in the system acts as supplementary controller in automation which assists PSS functioning and thus entire system operation improves by way of modulating the signal dynamics at interface points which quickly damps oscillations. The system study has been performed on a sample six area power systems comprising of UPFC connected between area two and three and PSS to all areas. The proposed concept demonstrates auto tuning of PSS for quick oscillation damping as the operating conditions change and also under situations of PSS failure due to relatively larger perturbation, UPFC acts as supplementary controller by assisting the entire system PSS to recover ensuring stability.     

Quantitative Fractography for Improved Probability of Detection (POD) Analysis of Bolt Hole Eddy Current

Fatigue cracks are prone to develop around the fasteners found in multilayer aluminum structures such as ageing aircraft. The determination of their probability of detection (POD) using eddy current techniques is critical for risk assessments used in evaluating serviceability. Normally, a large number of samples of both fatigue cracks and electric discharge machined notches are required for such a study. In this study, the use of quantitative fractography (QF) to efficiently gather POD data for bolt hole eddy current is demonstrated. The technique can be readily automated, significantly reducing man-hour requirements. The method is applied to mid-bore cracks, grown without starter notches, in order to simulate naturally occurring fatigue cracks. POD of the mid-bore cracks is examined using a probit analysis. An a _90/95 is the probability that 90% of the cracks of size a or larger will be detected 95% of the time. An a _90/95 of 0.34 mm was obtained for mid-bore crack depth. This value is consistent with skin depth considerations at the 1.6 MHz inspection frequency. An examination of the POD based on crack length found that it was related to that of depth according to the average length-to-depth aspect ratio of 2 to 1.     

武汉国际证券大厦表面风压重组的POD法

讨论本征正交分解法在武汉国际证券大厦风洞试验模型主体结构上部分非均匀分布测点的风压上的应用．采用不同阶数的模态对部分测点进行风压重组，与原始风压进行对比，计算它们之间的误差，并分析了产生误差的原因，最后根据原始风压场推断出所需的未布置测压孔处的脉动风压时间序列．     

中点嵌位三电平逆变器调制技术的仿真研究

随着高压技术的发展,对逆变器容量的要求越来越高,由于电力电子器件的限制,传统两电平逆变器的容量已经很难达到大功率的要求.介绍了三电平中点箝位逆变器的拓扑结构、特点以及工作原理,并对电压移位调制PWM技术中的IPD、POD和APOD3种排列方式及原理进行了详细说明.通过仿真和实验研究,给出了APOD排列方式下电流、相电压和线电压的仿真波形和频谱图,结果证明了理论分析的正确性.     

Gain-scheduled controller synthesis for a nonlinear PDE

Linear parameter-varying (LPV) modelling and control of a nonlinear partial differential equation (PDE) is considered in this article. The one-dimensional viscous Burgers' equation is discretised using a finite difference scheme; the boundary conditions are taken as control inputs and the velocities at two grid points are assumed to be measurable. A nonlinear high-order state space model is generated and proper orthogonal decomposition is used for model order reduction. After assessing the accuracy of the reduced model, a low-order functional observer is designed to estimate the reduced states which are linear combinations of the velocities at all grid points. A discrete-time quasi-LPV model that is affine in scheduling parameters is derived based on the reduced model. A polytopic LPV controller is synthesised based on a generalised plant containing the LPV model and the functional observer. More generally, the proposed method can be used to design an LPV controller for a quasi-LPV system with non-measurable scheduling parameters. Simulation results demonstrate the high tracking performance and disturbance and measurement noise rejection capabilities of the designed LPV controller compared with a linear quadratic Gaussian (LQG) controller based on a linearised model.