多变量解耦极点配置组合自校正前馈控制器

本文提出了一种新的多变量解耦极点配置自校正前馈控制器,它具有使伺服跟踪性能和 随机调节性能两者均优的组合自校正特性.仿真例子说明了其有效性.     

前馈和反馈相结合的控制策略在宝钢线材厂控冷轧线上的应用实践

在详细分析料坯在水箱内冷却热过程特点的基础上，提出了前馈和反馈相结合的水流量优化控制策略，并将该策略应用于宝钢线材厂控冷轧线上。实际运行结果表明：该策略能够合理地控制水箱水流量，从而保证了线材水箱出口处的温度满足工艺要求，大大提高了线材成品的质量。所做工作对国内同类企业有重要的意义。     

射频放大器互调失真检测和载波抵消的研究

采用高功率射频信号内部互调失真的包络特性检测与比较技术,对射频功率带外信号进行检测和估计。设计用于高功率射频放大器前馈技术线性化的一个带外信号检测器。探讨如何进行射频载波抵消以及检测放大器互调失真信号。     

分布式集中供热微机控制系统

由供热站控制装置、温度巡测仪和ＰＣ－３８６微机构成对供热站及热用户的多种现场参数进行采集与控制。文中提出了一种根据补水进行前馈控制的方法。并给出了远距离测温探头的实际应用线路。     

Hysteresis Compensation and Adaptive Controller Design for a Piezoceramic Actuator System in Atomic Force Microscopy

This paper presents an indirect adaptive controller combined with hysteresis compensation to achieve high accuracy positioning control of piezoceramic actuators and illustrates the results with an atomic force microscope (AFM) application. A dynamic model of a piezoceramic actuator system in AFM is derived and analyzed. A feedforward controller based on the Preisach model is proposed to compensate for the nonlinear hysteresis effects. Then an indirect adaptive controller is designed to achieve desired tracking performance as well as deal with the uncompensated nonlinearity from hysteresis and the system parameter variation due to creep. Experimental results indicate that the proposed controller can significantly improve the positioning control accuracy of the piezoceramic actuator as well as achieve high image quality of the AFM system. The maximum scanning error was reduced from 2µm to 0.3µm in comparison with a proportional‐integral‐derivative (PID) controller. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

国外现代铝带冷轧机和国产先进冷轧机

介绍了国外现代化铝带冷轧机的特点和典型轧机及国内铝带冷轧机的发展。     

六自由度机械臂约束预测控制系统的设计

本文提出了一种基于约束预测控制的机械臂实时运动控制方法.该控制方法分为两层,分别设计了约束预测控制器和跟踪控制器.其中,约束预测控制器在考虑系统物理约束的条件下,在线为跟踪控制器生成参考轨迹;跟踪控制器采用最优反馈控制律,使机械臂沿参考轨迹运动.为了简化控制器的设计和在线求解,本文采用输入输出线性化的方式简化机械臂动力学模型.同时,为了克服扰动,在约束预测控制器中引入前馈策略,提出了带前馈一反馈控制结构的预测控制设计.因此,本文设计的控制器可以使机械臂在满足物理约束的条件下快速稳定地跟踪到目标位置.通过在PUMA560机理模型上进行仿真实验,验证了预测控制算法的可行性和有效性.     

网络结构增长的极端学习机算法

针对极端学习机(extreme learning machine,ELM)结构设计问题,基于隐含层激活函数及其导函数提出一种前向神经网络结构增长算法.首先以Sigmoid函数为例给出了一类基函数的派生特性:导函数可以由其原函数表示.其次,利用这种派生特性提出了ELM结构设计方法,该方法自动生成双隐含层前向神经网络,其第1隐含层的结点随机逐一生成.第2隐含层的输出由第1隐含层新添结点的激活函数及其导函数确定,输出层权值由最小二乘法分析获得.最后给出了所提算法收敛性及稳定性的理论证明.对非线性系统辨识及双螺旋分类问题的仿真结果证明了所提算法的有效性.     

自动厚度控制方法的研究

为了提高轧钢厚度精度,提升产品合格率,本文通过对影响厚度变化因素的分析,对自动厚度控制方法的研究,提出了一种复合控制的方法.该方法不仅包括了传统反馈、前馈的控制策略,还有包含了自学习在内的预测控制,并对其进行了仿真分析,为自动厚度控制方案的优化提供了新的思路.     

Decentralized output feedback stabilization for a class of large‐scale feedforward nonlinear time‐delay systems

This paper is concerned with the decentralized stabilization problem for a class of large‐scale feedforward nonlinear time‐delay systems. The uncertain nonlinearities involved in the systems are assumed to be bounded by continuous functions of the inputs and delayed inputs multiplied by unmeasured states and delayed states. An observer‐based decentralized output feedback control scheme is proposed by using the dynamic gain control design approach. On the basis of the Lyapunov–Krasovskii stability theory, the global asymptotic stability of the closed‐loop control system is proved. Contrary to many existing control designs for feedforward nonlinear systems, the celebrated forwarding design and saturation design are not utilized here. An example is finally given to demonstrate the effectiveness of the proposed design procedure. Copyright © 2013 John Wiley & Sons, Ltd.