基于模糊PID控制的永磁同步电机控制器研究

为了提高复杂环境条件下永磁同步电机（PMSM）控制器的动态控制性能与抗干扰能力,分析了永磁同步电机的速度-电流（或力矩）双闭环控制调速结构,提出了一种基于模糊PID控制原理的速度环控制策略。速度环运行时,模糊PID控制器首先将永磁同步电机转速的误差及误差变化率进行模糊化处理,然后依据模糊规则进行模糊推理,并自动在线整定出速度环PID的三个系数（比例系数、积分系数、微分系数）,不仅减少了速度环的调节时间,也能增强抵御来自电流环（或力矩环）的干扰。仿真结果表明,当永磁同步电机的转速发生变化或负载发生扰动时,相比于传统的PID控制器,模糊PID控制器能提高系统的动态性能与鲁棒性。该方法用于永磁同步电机的控制是可行、有效的。     

Infrared dim and small target detecting and tracking method inspired by Human Visual System

Detecting and tracking dim and small target in infrared images and videos is one of the most important techniques in many computer vision applications, such as video surveillance and infrared imaging precise guidance. Recently, more and more algorithms based on Human Visual System (HVS) have been proposed to detect and track the infrared dim and small target. In general, HVS concerns at least three mechanisms including contrast mechanism, visual attention and eye movement. However, most of the existing algorithms simulate only a single one of the HVS mechanisms, resulting in many drawbacks of these algorithms. A novel method which combines the three mechanisms of HVS is proposed in this paper. First, a group of Difference of Gaussians (DOG) filters which simulate the contrast mechanism are used to filter the input image. Second, a visual attention, which is simulated by a Gaussian window, is added at a point near the target in order to further enhance the dim small target. This point is named as the attention point. Eventually, the Proportional-Integral-Derivative (PID) algorithm is first introduced to predict the attention point of the next frame of an image which simulates the eye movement of human being. Experimental results of infrared images with different types of backgrounds demonstrate the high efficiency and accuracy of the proposed method to detect and track the dim and small targets.     

Analysis of nitrosamines by GC2 with a photoionization detector

The use of a photoionization detector (PID) coupled to a glass capillary gas chromatography (GC²) separation system for the detection of carcinogenic nitrosamines was investigated. The components analyzed gave a linear response with a lower detection limit of 50 to 100 pg with the 10.2 eV ionization source. No detector response was obtained with an ionization energy of 9.5 eV. Chromatography of meat extracts indicated their complex molecular composition. Simple liquid chromatographic cleaning procedures significantly decreased the complexity of these samples, but not sufficiently for the accurate quantition of nitrosamine components.     

人造金刚石加热系统分析及其精密交流调功器设计

建立了加热系统的数学模型,深入分析各类交流加热的特性及差别,指出恒功率加热方式温控效果最佳且与直流加热无明显区别.建立恒功率交流加热系统SABER仿真模型并深入分析系统构成特性,设计一个基于适当功率滤波和输出偏置的模拟PID控制器.仿真和实验结果表明,所设计交流调功器具有成本低、实时性强、适应性好、控制性能佳、温控精度高等特点,能较好地满足金刚石合成工艺的要求.     

Analysis of BTEX, PAHs and metals in the oilfield produced water in the State of Sergipe, Brazil

During oil and gas exploitation, large amounts of produced water are generated. This water has to be analyzed with relation to the chemical composition to deduce the environmental impact of its discharge after a treatment process. Therefore, a study was carried out to evaluate preliminarily the BTEX (benzene, toluene, ethylbenzene and xylenes), polycyclic aromatic hydrocarbons (PAHs) and metals contents in produced water samples taken from effluents of the Bonsucesso treatment plant located in the city of Carmópolis, the most important oil and gas producer in the State of Sergipe, North-east of Brazil. Three methods were optimized to determine the target compounds. Polycyclic aromatic hydrocarbons were determined by gas chromatography with mass spectrometric detection (GC/MS), volatile aromatic hydrocarbons (BTEX) by gas chromatography with photoionization detector (GC/PID) and metals were analyzed by flame atomic absorption spectrometry (FAAS). The results showed that concentrations of the target compounds in these samples ranged from 96.7 to 1397 μg L^− 1 for BTEX, from 0.9 to 10.3 μg L^− 1 for PAHs and from 0.003 to 4540 mg L^− 1 for metals.     

Particle identification using artificial neural networks at BESⅢ

A multilayered perceptrons' neural network technique has been applied in the particle identification at BESⅢ. The networks are trained in each sub-detector level. The NN output of sub-detectors can be sent to a sequential network or be constructed as PDFs for a likelihood. Good muon-ID, electron-ID and hadron-ID are obtained from the networks by using the simulated Monte Carlo samples.     

A generalized mathematical model to analyze the nonlinear behavior of a controlled gyroscope in gimbals

In this paper, the effect of the parameter variation on the stability and dynamic behavior of a gyroscope in gimbals with a feedback control system, formed by a Proportional + Integral $+$ Derivative (PID) controller and a DC motor with an ideal train gear is researched. The generalized mathematical model of the gyro is obtained from the Euler-Lagrange equations by using the nutation theory of the gyroscope. The use of approximated models of the control system are deduced from the mathematical model of the gyro, taking into account that the integral action of the PID controller is constrained and that the inductance of the DC motor may be negligible. The analysis and choice of appropriate state variables to simulate the dynamic behavior of different models of the gyro are also considered. The paper shows that from the analysis of the equilibrium points, a Bogdanov Takens and a Poincaré-Andronov-Hopf bifurcation can appear. These bifurcations are analyzed from the calculation of a parameter which is known as the first Lyapunov value, showing that it is possible to deduce a procedure to find out when a complicated model can be substituted by a simpler one. In particular, the possibility of self-oscillating and chaotic behavior for different models of the system by using the first Lyapunov value as a function of the parameters of the PID controller is researched. Numerical simulations have been performed to evaluate the analytical results and the mathematical discussions.     

虚拟恒电位仪的研制及其在腐蚀电化学测量中的应用

恒电位仪是腐蚀电化学测量最重要的基本设备.虚拟恒电位仪用图形程序软件取代复杂硬件来实现恒电位功能.它的结构和参数灵活,构建简单,能满足多方面腐蚀电化学测试方法的需求,虚拟恒电位仪的实现是发展虚拟腐蚀电化学仪器的重要步骤.本文采用LabVIEW 2010编程系统和比例-积分-微分(PID)控制技术,研制了虚拟恒电位仪,并组建了VEC11-A腐蚀电化学测试系统,该系统能满足不同阻抗体系的腐蚀电化学测试需求.其腐蚀电位、稳态极化曲线、线性极化曲线、循环伏安、动电位扫描、恒电位阶跃等常规腐蚀电化学测量结果与2263电化学测试系统相近,能够满足常规腐蚀电化学测试要求,具有很大的发展空间.     

基于改进PSO的超声雾化电源频率跟踪研究*

超声波雾化技术由于其良好的雾化效果获得了广泛关注，具有极大的研究价值和应用前景。但是在超声雾化的过程中，由于换能器的温度变化、刚度变化以及在水中的负载变化等因素，会产生谐振频率漂移的现象。当工作频率偏移谐振频率时，将造成换能器的工作效率降低和元器件损坏等问题。针对此问题，设计了基于改进粒子群算法优化PID参数的超声雾化电源频率跟踪算法，并对该算法进行频率跟踪的仿真验证和实验对比，在频率跟踪上实现了更好的效果，使换能器能够稳定工作在谐振状态，提高了电源的利用率。     

燃气机热泵系统电子膨胀阀流量控制的研究

本文通过理论分析及实验测试,研究燃气机热泵系统启动过程和大范围变容量调节过程中系统流量特性,提出了适合于燃气机热泵系统的电子膨胀阀流量控制策略.结果表明文中所提出的模糊自适应PID控制方法和模糊PID控制方法的控制性能要优于常规的PID控制方法.