35t/h电站锅炉的Fuzzy控制

针对35t/h电站锅炉主汽压力和主汽温度为控制对象，提出了模糊控制算法，并通过PLC系统予以实现，有效地解决了多输入多输出参数之间的耦合影响，实现了锅炉生产的平稳控制。     

基于无线传感器扭矩检测的轧机扭振前馈控制

 针对轧机轧辊反复正反转咬钢抛钢受到突然强有力的冲击时扭振现象极为严重的情况,研究采用扭矩无线传感器实时采回负载干扰值,解决了现有的扭振抑制方法中采用扭振预估器计算扭振时容易出现偏差的问题;利用前馈能在扰动发生时提前做出干扰补偿的原理,在大型轧机交交变频调速系统定子转矩电流与转速双闭环的基础上,在转矩控制器的输入端加入负载扭矩扰动补偿,提前控制定子电流转矩分量而达到控制扭振的目的,并用Simulink对上述过程进行仿真。结果表明：基于无线传感的扭振前馈抑制方式对扭振的控制效果非常明显,几乎可以彻底消除扭振,更贴近实际。     

合金自动称量技术在转炉炼钢中的应用

介绍了120t转炉炼钢合金料自动称量控制系统的结构设计、编程、数据处理方法,分析了强振速度、弱振速度、弱振值、落差值等参数对称量精度的影响。该系统运用MB 通讯技术实现称量值反馈,可以完成几种合金料连续称量过程。使用证明,系统称量误差控制在了1kg之内。     

可编程逻辑控制器在艾萨炉余热锅炉振打系统中的应用

介绍了西门子公司S7-300型可编程逻辑控制器（PLC）在云铜艾萨炉余热锅炉振打系统中的应用。描述了硬件概况,分析了控制要求、时序图和程序设计流程,基于分组控制的原则,简化了程序设计,取得了显著效果。     

国土资源部下达2007年钨矿开采总量控制指标

3月29日，国土资源部下发了《关于下达2007年钨矿和稀土矿开采总量控制指标的通知》（国土资发[2007]71号文）。2007年全国钨精矿开采总量控制指标为59270t（65％WO3），比2006年增加210t，增长0．36％，基本持平。其中：主采钨总量控制指标54810t，与2006年持平，分配到各省区的指标维持了2006年的指标；综合利用回收钨指标4460t，比2006年增加210t，增长4．94％，其中，江西增加100t，广西增加100t，青海增加10t。     

济钢三炼钢转炉自动化控制系统

描述了济钢第三炼钢厂120t转炉基础自动化和传动控制系统的结构，着重介绍了基础自动化系统电气、仪表、计算机（EIC）控制及网络通讯一体化和传动控制系统的优越性、精确性、稳定性的特点，并介绍了系统实际应用情况。     

NEC神经网络技术在50t电炉电极调节系统中的研究与应用

莱芜钢铁集团有限公司特殊钢厂50t电炉电极调节系统是2002年从德国西门子公司引进的先进设备，系统采用AC ＆ NEC（阻抗控制和神经网络控制）实现电极的自动控制。电极调节系统是电弧炉炼钢控制系统的核心部分，由于该系统是一个非线性、强耦合、多变量、时变的系统，NEC神经网络系统投运之初效果不好，电极升降动作频繁，     

PLC在静电除尘振打器控制系统中的应用

介绍了利用硬件扩展H上输出接口，使其最多可控制256个振打器的静电除尘振打系统，给出了振打系统主回路的原理固及扩展接口的硬件电路。     

圆坯钢电磁软接触连铸的实验研究

为确定工业实验基本参数,对电磁软接触连铸结晶器进行了优化设计计算,设计制作了φ100 mm圆坯电磁软接触连铸结晶器,利用Sn-Pb-Bi合金实验研究了结晶器内的弯月面行为,并进行了w(C)为0.22%钢坯的电磁软接触连铸实验。结果表明,电磁软接触连铸结晶器内磁场和弯月面变形具有不均匀性,切缝数为12时,磁场周向分布和弯月面变形较均匀。输入功率增加,弯月面高度增高,液面波动加剧。对于100 mm圆坯电磁软接触连铸系统,功率可控制在50~60 kW左右。实际应用中,浇注液面应控制在线圈中心偏上位置。较低的电源频率可获得较高的弯月面,频率应控制在20 kHz左右,可获得较高的周向均匀的磁场。获得了表面质量改善的电磁软接触连铸钢坯。随功率增加,铸坯表面依次会出现环状振痕、无振痕和波纹状振痕等3种振痕形态。     

攀钢冷轧厂光整机介绍

本文简要介绍了攀钢冷轧厂（设计能力50万t/年）光整机系统的液压控制功能和光整机控制过程,以提高光整料表面质量。     

Concepts, properties, and applications of linear systems to describe distribution, identify input, and control endogenous substances and drugs in biological systems

The response at time t (R(t)) of a (causal linear time invariant) system to an input A(t) is represented by: [equation: see text] where K(t) is called the unit impulse response function of the system, and the integration on the right side of the equation (above) is called the convolution (from the latin cum volvere: to interwine) of A(t) and K(t). The system described by this equation is at zero (initial conditions) when t = 0. Although it does not even begin to describe the incredible variety of possible responses of biological systems to inputs, this representation has large applicability in biology. One of the most frequently used applications is known as deconvolution: to deinterwine R(t) given a known K(t) (or A(t)) and observations of R(t), to obtain A(t) (or K(t)). In this paper attention is focused on a greater variety of aspects associated with the use of linear systems to describe biological systems. In particular I define causal linear time-invariant systems and their properties and review the most important classes of methods to solve the deconvolution problem, address. The problem of model selection, the problem of obtaining statistics and in particular confidence bands for the estimated A(t) (and K(t)), and the problem of deconvolution in a population context is also addressed, and so is the application of linear system analysis to determine fraction of input absorbed (bioavailability). A general model to do so in a multiinput-site linear system is presented. Finally the application of linear system analysis to control a biological system, and in particular to target a desired response level, is described, and a general method to do so is presented. Applications to simulated, endocrinology, and pharmacokinetics data are reported.     

Non-linear model predictive control to improve transient production of a hot dip galvanising line

A numerical transient model was designed to describe the dynamics of the annealing process prior to coating in a hot dip galvanising (HDG) line. The model was integrated into a model predictive controller developed in a previous work, including an adaptation mechanism to retain the model accuracy in operation. Complex transient production was studied to formulate proper constraints as input for the optimisation problem to be solved in real time. Simulations and online tests were carried out to verify the transient model and the controller design principles. The new controller has been implemented on a HDG line which annually produces 400 000 t of coated strip products mainly for the automotive and construction markets. Production using this controller proves its ability to correctly predict the future operation and optimise the control automation of the heating, the cooling and the line speed. Detailed data analysis shows significant improvements in terms of strip transition control precision, temperature control accuracy (50% increase inside tolerances), throughput maximisation (3–8% increase) and production consistency through the full automation.     

基于分段模糊Lyapunov函数的轮式移动机器人轨迹跟踪控制

研究了具有控制输入约束和外部干扰的轮式移动机器人的轨迹跟踪问题.在轨迹跟踪位姿误差的T-S模型和并行分布补偿框架下,利用分段模糊Lyapunov理论给出了满足控制输入约束的H_∞控制器设计方法,并证明了闭环系统的稳定性.仿真结果验证了所提方法的有效性.      

具有状态约束与输入饱和的全向移动机器人自适应跟踪控制

研究了全状态约束与输入饱和情况下的全向移动机器人轨迹跟踪控制问题.首先,针对一类三轮驱动的全向移动机器人,考虑系统存在模型参数不确定与外部扰动,建立了运动学与动力学模型;其次,利用障碍Lyapunov函数,结合反步设计方法,有效处理全向移动机器人跟踪过程中存在的状态约束,保证所有状态变量不会超出状态约束的限制区域;然后,针对系统参数不确定和未知有界扰动,设计相应的自适应律进行处理;同时,提出一种抗饱和补偿器保证机器人输入力矩满足饱和约束;并且利用Lyapunov理论分析证明了当选取合适的控制参数时闭环系统中的所有信号均能保证一致有界;最后,通过与未考虑状态约束和输入饱和的控制器以及经典比例-微分控制器进行仿真对比,验证了该方法的有效性和鲁棒性.      

基于嵌套饱和的输入约束浮空器非线性控制

提出用嵌套饱和函数描述的控制律形式，可以同时解决速率和幅值约束的控制问题.建立浮空器的三自由度模型，将除螺旋桨推力外的其他作用力作为扰动项，进而把该系统化为类积分链式系统；基于嵌套饱和控制理论，研究了类积分链式系统的控制输入幅值及速率约束与控制器饱和函数参数的关系；以浮空器为研究对象，进行纵向和横向通道解耦控制器设计，实现控制系统输入的幅值和速率有界.利用Lyapunov稳定性原理证明了系统的全局稳定性，分析了可调控制器参数对改善系统的动态性能的影响，在考虑风扰动的情况下，仿真验证了控制器的有效性和鲁棒性.      

Aging and Input Processing in Dual-Task Situations.

The psychological refractory period (PRP) paradigm was used to test whether older participants suffer from input interference in dual-task situations. Young (24 years) and older (57 years) adults gave speeded responses to 2 successively presented stimuli. The results showed increased susceptibility of older participants to input interference. Further experiments revealed that this input interference is related to the salience of the 2nd stimulus and that it is specific to older participants. Our findings indicate that parallel processing at the input stages of dual-task performance requires cognitive control. An age-related decline in the control of input processes should be considered as one source of age effects in dual-task performance. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Variational learning in nonlinear gaussian belief networks

We view perceptual tasks such as vision and speech recognition as inference problems where the goal is to estimate the posterior distribution over latent variables (e.g., depth in stereo vision) given the sensory input. The recent flurry of research in independent component analysis exemplifies the importance of inferring the continuous-valued latent variables of input data. The latent variables found by this method are linearly related to the input, but perception requires nonlinear inferences such as classification and depth estimation. In this article, we present a unifying framework for stochastic neural networks with nonlinear latent variables. Nonlinear units are obtained by passing the outputs of linear gaussian units through various nonlinearities. We present a general variational method that maximizes a lower bound on the likelihood of a training set and give results on two visual feature extraction problems. We also show how the variational method can be used for pattern classification and compare the performance of these nonlinear networks with other methods on the problem of handwritten digit recognition.     

Controlling Wind Response through a Fuzzy Controller

The aim of this paper is to discuss the adoption of a fuzzy controller for the reference system proposed in the benchmark problem covering the wind response control of a tall building. The writers approach the problem by conceiving the fuzzy controller as receiving the input from two sensors and driving the single actuator which has been added, in the benchmark problem, to the initially passive control device. The numerical investigation requires that the actual behavior of a fuzzy chip is simulated and this aspect is implemented in the paper.     

钨离子交换过程优化控制的研究

为解决目前钨离子交换工艺中存在的调速滞后的问题,探寻了钨离子交换控制的优化方法。该方法以最短时间内达到钨离子交换容量的最大值为控制目标。建立了一个钨离子交换预测模型,并实现滚动优化和反馈校正。研究预测控制算法在离子交换过程中的应用,提出一个预测控制方案,并对单输入变量的预测控制算法进行初步仿真。该预测控制系统能够实现在最短时间内达到树脂的最大工作交换容量的目标。在钨离子交换过程根据现场情况实时调整流入液流速,使流速和吸附速率匹配。钨离子交换预测控制解决了流入液流速调整滞后等问题,有比较明显的经济效益。     

不平衡输入三相--单相矩阵变换器电流解耦控制策略

分析了三相-单相矩阵变换器(3-1MC)输入侧低次谐波的产生原因,推导了功率补偿拓扑结构下的输出侧与补偿侧调制函数约束关系式.研究输入电压不平衡下,含电容补偿单元的3-1MC单网侧电流反馈控制策略无法对输入两相旋转坐标轴(dq轴)下的直轴与交轴电流分量实现无静差控制,提出了在功率补偿下对输入三相电流作正序、负序dq轴分解,分别独立对输入双dq轴下正序、负序电流作解耦内环,输出侧与补偿侧电压加权合成为外环的双闭环控制.实验与仿真结果均表明该策略不仅使3-1MC具有功率补偿功能,而且有效抑制了电压不平衡引起的输入电流与输出电压所含低次谐波,提高了3-1MC在单相用电场合的实用性.