900HC冷带轧机板形仪测控系统的研制

由板形仪和自动控制系统组成的板形控制系统是提高冷轧带材板形质量的关键技术，文章介绍了本课题组研制的第一台工业运行的国产磁弹性变压器差动输出式冷带轧机板形仪测控系统的结构、原理及实现，对提高国产冷轧带材质量有着重要的推动意义，水平接近90年代国际水平。     

工作辊可水平移动的六辊轧机板形控制算法

板形控制算法是开发板形控制系统的关键技术之一.结合工作辊可水平移动的六辊轧机板形调节机构的特点对板形闭环控制系统的功能、构成及工作原理进行了系统阐述.重点介绍了板形控制算法,详细描述了各板形调节机构的调节效率和板形控制模型的构建过程.通过MATLAB模拟实际运算过程对板形控制算法的可行性、准确性及系统的收敛性进行了验证.结果证明,各评估点板形误差的总体趋势在逐渐减小,减小到一定值后保持稳定状态,整体板形显著改善.     

热轧带钢中板形的计算和控制

热轧带钢中保持良好的板形是生产过程中极其重要的问题。首先,介绍了板形的基础知识包括板形的概念和计算,以及目前生产中板形控制方面实际存在的问题。在此基础上,讨论了影响板形的因素和控制策略,并对由带钢温度引起的缺陷,经过层流冷却获得良好板形的策略做了重点的讨论。从预防的角度阐明了板形的控制方法,并且介绍了一种实际生产中热轧带钢中浪板形控制方法,即PC设定控制方法的具体流程和实际应用效果。     

基于云自适应差分和BP神经网络的板形动态影响矩阵控制方法

为了克服传统板形控制中产品质量差、控制速度慢、生成效率低,以及静态影响矩阵控制信息不足等缺点,将云自适应差分算法(CADE)优化的BP神经网络应用到板形控制中,建立板形预测神经网络,并在离线状态下,根据板形轧制的历史数据和板形调控机构中的关键影响因素建立动态影响矩阵表。在线轧制过程中只需要与板形控制关键影响因素对应的动态影响矩阵表和板形识别变化量,就可以很快得到主要板形控制手段的控制量。该方法避免了神经网络的在线训练,提高了板形的控制速度和轧制精度。仿真实验表明,该方法稳定性好,控制精度高,适合用于板形的在线控制。     

嵌入式DSP冷轧带钢板形信号处理系统研制

针对冷轧带钢在线板形检测问题,基于整辊镶块式板形仪,研制了嵌入式DSP板形信号处理软硬件系统.利用高速DSP技术、信号隔离屏蔽技术和动态信号补偿算法等,提高板形检测信号的稳定性和可靠性,实现了冷轧带钢原始板形信号的实时高速处理,使其准确反映真实的冷轧带钢在线板形状况,为冷轧带钢在线板形闭环控制提供科学依据.该系统应用于...     

热轧带钢板形数学模型的研究

通过对国内某厂热连轧机板形控制系统的分析与研究，根据带钢板形控制的要求，提出一种利用神经网络理论建立板形数学模型的新方法，并采用MATLAB语言对该系统进行离线仿真。仿真与实际测量结果比较表明所建立的模型的正确性，同时该方法可避开多项式回归运算，具有很强的抗干扰能力。     

冷轧带材板形仪检测系统

板形仪是安装在冷轧带材轧机上的检测系统 ,用于检测带材板形 ,以控制成品带材的质量 ,提高经济效益。以衡水钢管厂 90 0HC轧机为基础 ,介绍了冷轧带材板形仪检测原理 ,着重讨论了板形仪计算机系统的硬件组成和软件结构。     

冷轧带材板形仪检测系统

板形仪是安装在冷轧机上的检测系统,用于检测带材板形,以控制成品带材的质量,提高经济效益,以衡水钢管厂９００ＨＣ轧机为基础,介绍了冷轧带材板形仪检测原理,着重讨论了板形仪计算机系统的硬件组成和软件结构。     

基于LMI方法的板形板厚综合系统的H∞跟踪控制器设计

针对板带材轧制是一个复杂的非线性过程，板形控制(AFC)和板厚控制(AGC)又是相互耦合的一个综合系统等特点，该文建立了工作点线性化的冷连轧板形板厚离散化状态空间模型；将H∞跟踪控制问题转化为标准的H∞控制问题，并应用LMI(Linear Matrix Inequality)方法设计了板形板厚H∞跟踪控制器。仿真结果证明了此H∞控制系统具有良好的鲁棒稳定性、自适应跟随和抗扰性能，其控制效果优于传统的解耦PID控制。     

热轧生产线板型控制系统的研究与应用

运用软件仿真方法并结合生产实践,从板形调控功效和板带轧机综合性能两个方面,比较研究了目前国际上各主要板形控制技术.研究结果不仅有助于板带轧机的选型和板形技术的配置,也有益于先进板形技术的创制.     

西门子PLC控制热处理炉炉温的几种方法

对太钢不锈热轧厂的燃气热处理妒炉温控制系统进行了介绍,重点介绍了应用西门子PLC控制系统控制燃气热处理炉炉温的几种方法,对这些方法所采用的方案进行了分析,在软件的控制方法上进行了研究,例举了实践中一些应用程序,进行了详细说明.在这些方法中既有传统的PID控制方法,也有通过测量温度变化趋势对流量、阀位进行控制的动态控制方法,这些控制方法使用灵活、简单易行、应用成本低、实用性强,取得了较好的控制效果.在实际工作中这些控制方法有些可以直接应用,有些可以改进后应用,这些方法的应用对于PLC在工业热处理炉炉温控制实践、提高钢板控制质量、提高自动控制水平具有非常强的实用目的.     

高精度两维运动控制系统的设计

对运动控制的结构作了一个简单的分析,对运动控制系统的主要构成部件进行了简单介绍,对设计运动控制系统提出一些建议。针对用户需要,设计了一个交直流伺服控制系统构成的两轴运动控制系统;结果表明,该两轴运动控制系统针对大负荷具有高控制精度。     

A review of current state-of-the-art control methods for lower-limb powered prostheses

Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb amputations. While the design of lower-limb prostheses is important, this paper focuses on the complementary challenge—the control of lower-limb prostheses. Specifically, we focus on powered prostheses, a subset of lower-limb prostheses, which utilize actuators to inject mechanical power into the walking gait of a human user.In this paper, we present a review of existing control strategies for lower-limb powered prostheses, including the control objectives, sensing capabilities, and control methodologies. We separate the various control methods into three main tiers of prosthesis control: High-level control for task and gait phase estimation, mid-level control for desired torque computation (both with and without the use of reference trajectories), and low-level control for enforcing the computed torque commands on the prosthesis. In particular, we focus on the high- and mid-level control approaches in this review. Additionally, we outline existing methods for customizing the prosthetic behavior for individual human users. Finally, we conclude with a discussion on future research directions for powered lower-limb prostheses based on the potential of current control methods and open problems in the field.     

基于LS-SVM的BTT导弹动态逆反演控制

基于LS -SVM理论、动态逆控制和反演控制方法,针对具有非匹配不确定性的BTT导弹非线性数学模型,设计了一种基于LS- SVM的BTT导弹动态逆反演控制律;对传统反演控制律设计的不足之处,采用LS- SVM法逼近BTT导弹控制系统中带有未知成分非线性函数,从而实现了无需精确数学模型的全新控制律,避免了因建模误差对控制带来的不良影响,在此基础上,利用李亚普诺夫方法证明了系统的稳定性和收敛性;仿真结果表明,文章所设计的控制律,对导弹控制系统中存在的不确定因素具有较强的鲁棒性和自适应性.     

Control strategies for high-power electric vehicles powered by hydrogen fuel cell,battery and supercapacitor

Problems relating to oil supply, pollution, and green house effects justify the need for developing of new technologies for transportation as a replacement for the actual technology based on internal combustion engines (ICE). Fuel cells (FCs) are seen as the best future replacement for ICE in transportation applications because they operate more efficiently and with lower emissions. This paper presents a comparative study performed in order to select the most suitable control strategy for high-power electric vehicles powered by FC, battery and supercapacitor (SC), in which each energy source uses a DC/DC converter to control the source power and adapt the output voltage to the common DC bus voltage, from where the vehicle loads are supplied.Five different controls are described for this kind of hybrid vehicles: a basic control based on three operation modes of the hybrid vehicle depending on the state of charge (SOC) of the battery (operation mode control); a control strategy based on control loops connected in cascade, whose aim is to control the battery and SC SOC (cascade control); a control based on the technique of equivalent fuel consumption, called equivalent consumption minimization strategy (ECMS); and two based on control techniques very used nowadays, the first one of them is a fuzzy logic control and the second one is a predictive control. These control strategies are tested and compared by applying them to a real urban street railway. The simulation results reflect the optimal performance of the presented control strategies and allow selecting the best option for being used in this type of high-power electric vehicles.     

基于Internet远程过程控制实验系统的设计与实现

描述了以过程控制实验装置为对象的基于Internet远程控制实验系统。该系统可为远程实验提供常规PID控制、模糊控制、模糊自适应整定PID控制、基于BP神经网络整定PID控制、串级控制等五种控制方法;可在线进行实验结果分析与评价,也可支持离线数据分析;实现了视频图像的远程实时传输。测试结果表明此远程过程控制实验系统它能够满足过程控制实验的需要,系统具有易扩展、交互性好、操作简单、实验过程显示直观等特点。     

Intelligent control of precision linear actuators

This paper presents and compares possible intelligent control designs for precision motion control applications which are based on the use of linear actuators. The control schemes developed include adaptive control, compositie control using a radial-basis function for nonlinear compensation and an iterative learning control scheme. The mathematical model for a permanent magnet linear motor is first presented on which the control designs are based. Theoretical analysis as well as full experimental results are provided for the control schemes. Practical issues in the overall implementation of a precision motion control system are also highlighted.     

Cooperative formation control of autonomous underwater vehicles: An overview

Formation control is a cooperative control concept in which multiple autonomous underwater mobile robots are deployed for a group motion and/or control mission. This paper presents a brief review on various cooperative search and formation control strategies for multiple autonomous underwater vehicles (AUV) based on literature reported till date. Various cooperative and formation control schemes for collecting huge amount of data based on formation regulation control and formation tracking control are discussed. To address the challenge of detecting AUV failure in the fleet, communication issues, collision and obstacle avoidance are also taken into attention. Stability analysis of the feasible formation is also presented. This paper may be intended to serve as a convenient reference for the further research on formation control of multiple underwater mobile robots.     

Hybrid modelling of homogeneous charge compression ignition (HCCI) engine dynamics—a survey

The Homogeneous charge compression ignition (HCCI) principle holds promise to increase efficiency and to reduce emissions from internal combustion engines. As HCCI combustion lacks direct ignition timing control and auto-ignition depends on the operating condition, control of auto-ignition is necessary. Since auto-ignition of a homogeneous mixture is very sensitive to operating conditions, a fast combustion phasing control is necessary for reliable operation. To this purpose, HCCI modelling and model-based control with experimental validation were studied. A six-cylinder heavy-duty HCCI engine was controlled on a cycle-to-cycle basis in real time using a variety of sensors, actuators and control structures for control of the HCCI combustion. Combustion phasing control based on ion current was compared to feedback control based on cylinder pressure. With several actuators for controlling HCCI engines suggested, two actuators were compared, dual fuel and variable valve actuation (VVA). Model-based control synthesis requiring dynamic models of low complexity and HCCI combustion models were estimated by system identification and by physical modelling, the physical models aiming at describing the major thermodynamic and chemical interactions in the course of an engine stroke and their influence on combustion phasing. The models identified by system identification were used to design model-predictive control (MPC) with several desirable features and today applicable to relatively fast systems, the MPC control results being compared to PID control results. Both control of the combustion phasing and control of load-torque with simultaneous minimization of the fuel consumption and emissions, while satisfying the constraints on cylinder pressure, were included.     

Experimental application of nonlinear model predictive control: temperature control of an industrial semi-batch pilot-plant reactor

This paper describes the application of nonlinear model predictive control (NMPC) to the temperature control of a semi-batch chemical reactor equipped with a multi-fluid heating/cooling system. The strategy of the nonlinear control system is based on a constrained optimisation problem, which is solved repeatedly on-line by a step-wise integration of a nonlinear dynamic model and optimisation strategy. A supervisory control routine has been developed, based on the same nonlinear dynamic model, to handle automatically the fluid changeovers. Both NMPC and supervisory control have been implemented on a PC and applied to a 16 l batch reactor pilot plant. Experiments illustrate the feasibility of such a procedure involving predictive control and supervisory control.