Improved modelling of power transformer winding using bacterial swarming algorithm and frequency response analysis

The paper discusses an improved modelling of transformer windings based on bacterial swarming algorithm (BSA) and frequency response analysis (FRA). With the purpose to accurately identify transformer windings parameters a model-based identification approach is introduced using a well-known lumped parameter model. It includes search space estimation using analytical calculations, which is used for the subsequent model parameters identification with a novel BSA. The newly introduced BSA, being developed upon a bacterial foraging behavior, is described in detail. Simulations and discussions are presented to explore the potential of the proposed approach using simulated and experimentally measured FRA responses taken from two transformers. The BSA identification results are compared with those using genetic algorithm. It is shown that the proposed BSA delivers satisfactory parameter identification and improved modelling can be used for FRA results interpretation.     

Low Phase Noise VCO using Novel Harmonic Control Circuit Based on Quad-band Composite Right/Left-handed Transmission Line

In this paper,a novel Voltage-Controlled Oscillator(VCO)using the harmonic control circuit based on the quad-band Composite Right/Left-Handed(CRLH)Transmission Line(TL)is presented to reduce the phase noise without the reduction of the frequency tuning range and miniaturizing the circuit size.The phase noise has been reduced by the quad-band harmonic control circuit which has the short impedance for the second-and third-and fourth-and fifth-harmonic components.The CRLH TL with two Left-Handed(LH)(backward)and two Right-Handed(RH)(forward)pass bands are used to design the quad-band harmonic control circuit.The high-Q resonator has been used to reduce the phase noise,but it has the problem of the frequency tuning range reduction.However,the frequency tuning range of the proposed VCO has not reduced because the phase noise has reduced without the high-Q resonator.The miniaturization of the circuit size is achieved by using the quad-band CRLH TL instead of the conventional RH TL.The phase noise of VCO is-124.43～-122.67 dBc/Hz at 100 kHz in the tuning range of 5.729～5.934 GHz.     

分频AVO技术在珠江口盆地番禺天然气区含气性分析中的应用

 AVO理论在实际应用中与实际地层条件存在较大差异,导致这种差异的一个主要原因在于薄层调谐效应改变了地震AVO变化规律。珠江口盆地番禺流花气区G圈闭内的A井SB21.0含气砂岩钻前烃类检测结论与钻后AVO模型正演研究结论不符,并且该区含水砂岩与含气砂岩的AVO地震响应特征相同。因此利用叠前道集判断储层流体性质出现误区,使B井钻探失利。为解决该区在应用AVO技术中存在的“陷阱”,利用不同频率范围的吸收与衰减引起的地震振幅差异,在G圈闭开展不同频带的分频AVO属性研究工作。研究结果表明：分频AVO技术能有效地解决该区储层AVO响应井震不一致的问题。将这一技术应用于预测有利目标,结果表明预测结果正确。     

分次谐波的一种精确检测方法

本文将Hopfield神经网络理论引入分次谐波的检测之中,推导分次谐波检测模型,并对神经网络模型中的积分参数设置方法进行了讨论。仿真结果表明该方法能够精确检测分次谐波,系统的动态特性只与积分参数的设置有关。     

A novel P systems based optimization algorithm for parameter estimation of proton exchange membrane fuel cell model

Accurate kinetic models are of great significance for the simulation and analysis for hydrogen fuel cells. The proton exchange membrane (PEM) fuel cell is a complex nonlinear, multi-variable system. The mathematical modeling of PEM fuel cell usually leads to nonlinear parameter estimation problems which often contain more than one minimum. In this paper, a novel bio-inspired P systems based optimization algorithm, named BIPOA, is proposed to solve PEM fuel cell model parameter estimation problems. In BIPOA, the nested membrane structure and new rules such as adaptive mutation rule, partial migration rule and autophagy rule are combined to improve the algorithm's global search capacities and convergence accuracy. Studies on some benchmark test functions indicate that the BIPOA outperforms the other two methods (PSOPS and GAs) in both convergence speed and accuracy. In addition, experimental results reveal that the model predictive outputs are in better agreement with the actual experimental data. Therefore, the BIPOA is a helpful and reliable technique for estimating the PEM fuel cell model parameters and is available to other complex parameter estimation problems of fuel cell models.     

柴油机可变喷嘴增压器控制逻辑设计与参数标定

为了满足排放法规、提高发动机的效率和加快动态充气的响应,针对配置可变喷嘴涡轮增压器（VNT）的轻型卡车柴油机,设计了增压压力控制逻辑。控制器根据发动机转速和喷油量查询增压压力脉谱（MAP）,确定目标增压压力。采用开环预控制和闭环PID控制相结合的控制结构对增压压力进行控制,并通过排放试验标定了增压压力基本MAP、预控制MAP和PID参数因子MAP。发动机试验台上的实际控制试验结果表明,发动机实际的增压压力能够有效跟踪设定值,控制误差不超过8％。     

Effects of microstructure and properties on parameter optimization of boron carbide coatings prepared using a vacuum plasma-spraying process

This study employed artificial intelligence methods such as the Taguchi Method to determine the optimal parameters for boron carbide (B₄C) coatings using a vacuum plasma spray technique. We determined the optimal parameters to produce coatings and investigated B₄C coatings in an electromagnetic radiation environment by observing and analyzing changes in the microstructure and properties. These artificial intelligence methods comprised two stages. In the first stage, orthogonal arrays (OA) were used to distribute test parameters, and the Taguchi Method was used to optimize the parameters. In the second stage, a specimen of boron carbide coating was evenly exposed to radiation to investigate the microstructure and properties of the coating. The coating irradiated at a wavelength of 10.6 μm did not undergo any change in phase. The microstructure of the surface coating exhibited cracks, but these were insignificant. As the irradiation time increased, the number of cracks on the surface increased significantly. In addition, because the growth of surface cracks was governed by irradiation time, it was inferred that the growth was thermal efficiency-controlled (i.e., only generated by heating effects). Additionally, under irradiation, the surface of the boron carbide coating became oxidized and formed B₂O₃, H₃BO₃, and amorphous carbon; the coating size increased proportionally with irradiation time and weight of oxidation. The initial oxidation of the coating was classified as surface controlled, and the oxidation that formed on the B₂O₃ surface gradually transformed into extended controlled oxidation. Both types of oxidation control were conducted simultaneously, causing the weight of B₂O₃ to increase linearly. Two processes were involved in the extended control of oxidation: the formation of B₂O₃ (the cause of weight gain), and the vaporization of B₂O₃ (the cause of weight loss).     

液压挖掘机系统控制参数的免疫优化整定方法(英文)

液压系统是工程机械的神经系统,变量泵是液压系统的中枢神经,其工作好坏直接影响工程机械的性能和施工效率.针对步进电机控制机械转换机构可满足液压挖掘机控制系统中泵、阀、缸三者的良好匹配以实现无级变速,但是并未解决最佳动力性和最佳燃油经济性控制的问题,提出了一种基于免疫优化控制的参数整定方法.该方法将节能目标函数作为约束条件直接引入控制器参数的寻优过程,借助免疫优化算法整定控制器参数,所整定的参数既可保证控制器良好的动静态控制品质,同时也兼顾了节能的最优性.文中对多种不同算法的整定参数作了仿真对比实验研究,系统响应曲线显示基于免疫优化的整定参数有更好的控制效果.仿真结果表明,所提出的控制器参数免疫优化整定方法用于液压挖掘机控制系统参数整定是合理与可行的.     

三自由度混合电磁轴承的参数设计与控制系统实验研究

将永磁铁改为插槽式改进了三自由度混合轴承结构。设计系统的控制器,采用现代工业最常用的控制形式——传统PID控制、非线性补偿PID控制以及基于遗传算法的PID控制方法对电磁轴承的控制效果进行比较研究。利用MAT-LAB中的Simulink模块库对所设计的PID控制参数进行调试整定。结果表明:非线性补偿PID控制明显优于传统的PID控制,基于遗传算法的PID控制方法控制效果最优。