您的位置: 专家智库 > >

国家自然科学基金(50675186)

作品数:49 被引量:251H指数:10
相关作者:张秀玲刘宏民贾春玉单修迎徐腾更多>>
相关机构:燕山大学宝山钢铁股份有限公司鞍钢股份有限公司更多>>
发文基金:国家自然科学基金河北省自然科学基金国家科技支撑计划更多>>
相关领域:自动化与计算机技术金属学及工艺理学机械工程更多>>

文献类型

  • 49篇中文期刊文章

领域

  • 26篇自动化与计算...
  • 21篇金属学及工艺
  • 4篇理学
  • 1篇冶金工程
  • 1篇机械工程
  • 1篇一般工业技术

主题

  • 17篇神经网
  • 17篇神经网络
  • 17篇板形
  • 8篇模式识别
  • 8篇板形控制
  • 7篇轧机
  • 7篇模糊神经
  • 6篇模糊神经网络
  • 4篇带钢
  • 4篇识别方法
  • 4篇网络
  • 4篇板形模式识别
  • 4篇FLATNE...
  • 3篇倒立摆
  • 3篇轧带
  • 3篇神经模糊
  • 3篇弯辊
  • 3篇冷轧
  • 3篇厚板
  • 3篇PATTER...

机构

  • 41篇燕山大学
  • 4篇宝山钢铁股份...
  • 2篇中国科学院软...
  • 2篇鞍钢股份有限...

作者

  • 18篇张秀玲
  • 15篇刘宏民
  • 11篇贾春玉
  • 7篇单修迎
  • 7篇徐腾
  • 6篇彭艳
  • 5篇赵亮
  • 4篇张少宇
  • 4篇赵文保
  • 4篇逄宗鹏
  • 4篇樊红敏
  • 4篇臧佳音
  • 4篇李少清
  • 3篇郑翠翠
  • 3篇熊杰
  • 3篇申延智
  • 3篇马庆龙
  • 3篇田力勇
  • 3篇杜国君
  • 2篇朱春颖

传媒

  • 6篇钢铁
  • 6篇Journa...
  • 4篇中南大学学报...
  • 3篇冶金设备
  • 3篇塑性工程学报
  • 3篇沈阳大学学报...
  • 3篇智能系统学报
  • 2篇钢铁研究学报
  • 2篇工业仪表与自...
  • 2篇化工自动化及...
  • 2篇工程力学
  • 2篇山东科技大学...
  • 1篇轧钢
  • 1篇模糊系统与数...
  • 1篇燕山大学学报
  • 1篇机械工程学报
  • 1篇机械强度
  • 1篇中国机械工程
  • 1篇力学季刊
  • 1篇重型机械

年份

  • 1篇2016
  • 1篇2015
  • 2篇2014
  • 6篇2013
  • 5篇2012
  • 5篇2011
  • 12篇2010
  • 8篇2009
  • 8篇2008
  • 1篇2006
49 条 记 录,以下是 1-10
排序方式:
基于神经网络和自适应预报模型参数的平整轧制力模型被引量:8
2008年
冷轧带钢平整过程存在带材较薄,压下率较小等特点,应力状况较为复杂,采用传统模型对轧制力预报误差较大。采用神经网络模型对应力状态系数进行预报,可提高轧制力的预报精度。针对轧制过程中轧件特性发生缓慢变化的特点,采用符合平整轧制过程特点的变形抗力自适应模型,并与神经网络模型结合,预报平整轧制力。计算结果表明,该模型计算值与实际值吻合精度较高,90%的预报结果相对误差控制在5%以内。
马庆龙王东城刘宏民席英信郝彦军吴斌
关键词:轧制力神经网络
厚板轧机含间隙主传动系统混沌动力学分析被引量:16
2010年
咬钢冲击及打滑等因素极易导致轧机主传动系统产生振动,是轧机主传动系统异常损坏的主要因素。根据厚板轧机主传动系统实际结构形式,将该主传动系统简化为3自由度系统含间隙离散动力学模型,采用Runge-Kutta方法计算了含间隙碰撞系统在周期激励下的动力学响应。文中选择间隙闭合界面为庞加莱截面,对系统进行混沌动力学分析,发现系统具有混沌运动特征,结合现场工程实际对轧机进行了分析。论文的研究为该类轧机主传动的振动研究和控制奠定了基础。
申延智刘宏民熊杰杜国君
关键词:厚板轧机主传动系统分岔混沌
基于T-S云推理网络的板形智能控制对比研究被引量:3
2013年
将具有处理数据不确定性的云模型和T-S模糊神经网络相结合,设计T-S云推理网络,基于此网络,建立板形识别模型和轧机板形预测模型。针对900HC可逆冷轧机,设计板形控制系统,研发一种简捷的控制器;基于900HC的实测数据先离线训练确定控制器的初始参数,再在线调整控制器的参数,调整方法使用误差反传算法,并与具有相同结构的T-S模糊控制器进行对比。研究结果表明:此系统具有有效性和较好的鲁棒性。
张秀玲赵文保徐腾赵亮
关键词:云模型板形控制
冷轧带钢平整机支撑辊辊型优化技术的研究被引量:6
2009年
为提高板形控制效果,以板形最优为目标,建立了一套冷轧带钢平整机支撑辊辊型优化模型。为提高寻优速度,将目标函数进行转化,避免了金属模型与辊系模型的迭代计算,有效降低了计算时间,增加了算法的强壮性。将优化结果应用于凌钢900 mm平整机,生产实践表明,优化辊型可明显增强轧机的板形控制能力,降低弯辊负担,改善板形控制效果。
王东城马庆龙刘宏民
关键词:板形平整支撑辊辊型优化
Flatness intelligent control via improved least squares support vector regression algorithm被引量:2
2013年
To overcome the disadvantage that the standard least squares support vector regression(LS-SVR) algorithm is not suitable to multiple-input multiple-output(MIMO) system modelling directly,an improved LS-SVR algorithm which was defined as multi-output least squares support vector regression(MLSSVR) was put forward by adding samples' absolute errors in objective function and applied to flatness intelligent control.To solve the poor-precision problem of the control scheme based on effective matrix in flatness control,the predictive control was introduced into the control system and the effective matrix-predictive flatness control method was proposed by combining the merits of the two methods.Simulation experiment was conducted on 900HC reversible cold roll.The performance of effective matrix method and the effective matrix-predictive control method were compared,and the results demonstrate the validity of the effective matrix-predictive control method.
张秀玲张少宇赵文保徐腾
关键词:FLATNESS
Flatness Control Based on Dynamic Effective Matrix for Cold Strip Mills被引量:24
2009年
Steel strips are the main of steel products and flatness is an important quality indicator of steel strips. Flatness control is the key and highly difficult technique of strip mills. The bottle-neck restricting the improvement of flatness control techniques is that the research on flatness theories and control mathematic models is not in accordance with the requirement of technique developments. To build a simple, rapid and accurate explicit formulation control model has become an urgent need for the development of flatness control technique. This paper puts forward the conception of dynamic effective matrix based on the effective matrix method for flatness control proposed by the authors under the consideration of the influence of the change of parameters in roiling processes on the effective matrix, and the concept is validated by industrial productions. Three methods of the effective matrix generation are induced: the calculation method based on the flatness prediction model; the calculation method based on the data excavation in rolling processes and the direct calculation method based on the network model. A fuzzy neural network effective matrix model is built based on the clusters, and then the network structure is optimized and the high-speed-calculation problem of the dynamic effective matrix is solved. The flatness control scheme for cold strip mills is proposed based on the dynamic effective matrix. On stand 5 of the 1 220 mm five-stand 4-high cold strip tandem mill, the industrial experiment with the control methods of tilting roll and bending roll is done by the control scheme of the static effective matrix and the dynamic effective matrix, respectively. The experiment result proves that the control effect of the dynamic effective matrix is much better than that of the static effective matrix. This paper proposes a new idea and method for the dynamic flatness control in the rolling processes of cold strip mills and develops the theory and model of the flatness control effective matrix method.
LIU HongminHE HaitaoSHAN XiuyingJIANG Guangbiao
关键词:CLUSTER
智能方法在板形控制中的应用被引量:17
2010年
介绍了智能方法在轧制领域特别是在板形控制中的研究进展。阐述了神经网络、模糊控制、遗传算法、粒子群算法等智能方法在板形模式识别模型、板形预报模型、板形控制的液压弯辊控制模型和轧辊分段冷却控制模型中的应用,表明将智能方法引入板形控制中,改变了依赖经验和传统方法进行板形控制的局面,为板形控制建模走出了一条新途径。
刘宏民贾春玉单修迎
关键词:神经网络模式识别液压弯辊板形控制
HC轧机工作辊弯辊对板形特征参数影响规律的研究
2011年
为分析板形调节手段对板形特征参数的影响规律,以HC轧机为例,以倾辊、工作辊弯辊和中间辊横移作为板形调节手段,基于机理模型着重计算了工作辊弯辊板形调节手段对1次2、次、3次和4次板形的影响系数,系统地揭示了工作辊弯辊对各次板形的影响规律,为板形在线控制策略的制定提供了有益的指导和理论依据,也为后续其他板形调节手段的研究奠定了基础。
贾春玉单修迎崔发军白涛
关键词:HC轧机
RBF神经网络的板形预测控制被引量:7
2010年
由于板带轧制的环境十分复杂,如温度的变化是无法避免的干扰,以及HC轧机液压弯辊系统的非线性和不确定性,使得按传统理论建立的模型和控制方法都难以达到理想的效果.针对这一问题,提出了一种基于径向基函数(RBF)神经网络的模型预测控制方案应用于带材控制中,以提高带材的成材率,充分发挥液压弯辊力对板形的调整作用,改善轧机系统的动态特性.仿真结果表明了该控制系统的性能良好,有较强的抗干扰能力和较好的鲁棒性和快速性.
张秀玲陈丽杰逄宗朋朱春颖贾春玉
关键词:板形控制HC轧机RBF神经网络预测控制
Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion被引量:2
2010年
Flatness is an important equality indicator of strip rolling and roll subsectional cooling is an important method for flatness control, especially for high order flatness component control. It is very hard to build the mathematic model of roll subsectional cooling because of its characteristics of nonlinearity, hysteresis quality and strong coupling, etc. In order to improve the control effect of roll subsectional cooling control model, the roll subsectional cooling adaptive fuzzy control model based on fuzzy model inversion is built according to the separation principle of fuzzy form on the basis of the conventional fuzzy control model, where the parameters of the fuzzy controller can be dynamically regulated according to the change of rolling conditions. Simulation experiment results of the model indicate that the proposed roll subsectional cooling adaptive fuzzy control model based on fuzzy model inversion has high control precision and rapid response speed with strong self-learning and anti-interference capacity and a new method is provided for high precision flatness control.
SHAN Xiu-ying LIU Hong-min JIA Chun-yu
共5页<12345>
聚类工具0