基于高次勒让德正交多项式和调控功效函数,提出了降维功效调控模型及两级调控模型.首先,利用连续可导的高次曲线准确描述局部板形信息,同时降低影响系数矩阵的维数和功效函数的计算量,利用传统板形调控手段(倾辊、弯辊、横移)同步消除典型板形缺陷;然后,利用精细分段冷却实施剩余板形偏差的二级调控,改善局部浪形缺陷,提高成批钢卷的生产稳定性和板形质量.实例表明,当阶数为带钢覆盖检测通道数量的一半以上时,拟合曲线已包含所有的局部板形信息;对于相对较典型的板形问题(50 I左右),一级调控后剩余板形偏差在15 I以内,二级调控后剩余板形偏差在8I以内,综合调控效果比较理想.
Based on high-order Legendre polynomial function and regulation efficacy,the dimensionality reduction effi-ciency inherited regulation method and the two-loop comprehensive regulation control model are established. First,the l ocal shape information was described by the high-order curve,while the dimension of influence coefficient matrix and the computing amount of power function are reduced,typical shape deviations are synchronous eliminated by using tradition-al shape control means(tilting roll,roll bending and shifting). Then,the secondary regulation of finely segmented cooling is carried out for remaining shape deviation,and to remove local wave defects and improve the production stability and shape quality. Examples show that when the order was covered by more than half of strip detection channel number,the fit-ted curve already contained all the local shape information. For relatively typical bad shape state(about 50 I),the remain-ing shape deviation was within 15 I after the first regulation,after the secondary regulation,the remaining shape deviation within 8 I,which showed the integrated control effect was ideal.
参考文献
| [1] | 王国栋.中国钢铁轧制技术的进步与发展趋势[J].钢铁,2014(07):23-29. |
| [2] | 丁顺风;杨利坡;于丙强.基于模糊评判规则的冷轧带钢智能板形评价模型[J].钢铁,2014(9):61-63,70. |
| [3] | 曹忠华;王军生;王文天;俞小峰.1 450 mm冷连轧生产线板形控制系统组成和功能分析[J].鞍钢技术,2009(4):39-43. |
| [4] | 于丙强;杨利坡;刘宏民;彭艳;尤磊.冷轧带钢接触式板形仪研制及其工业应用[J].仪器仪表学报,2010(4):904-911. |
| [5] | 刘宏民;丁开荣;李兴东;江光彪.板形标准曲线的理论计算方法[J].机械工程学报,2008(8):137-142. |
| [6] | 杨利坡;于丙强;孙亚波;王军生.冷轧带钢在线板形信号补偿技术及工业应用[J].机械工程学报,2011(12):56-61. |
| [7] | YANG Li-po;YU Bing-qiang;DING Dong;LIU Hong-min.Industrial shape detecting system of cold rolling strip[J].中南大学学报（英文版）,2012(04):994-1001. |
| [8] | 闫沁太;张杰;贾生晖;褚玉刚;杨光辉;龚艺.冷轧机板形调节能力分析方法的研究与应用[J].机械工程学报,2011(4):77-81. |
| [9] | 郝亮;邸洪双;龚殿尧;王鹏飞.带钢冷轧闭环反馈控制最优化算法程序开发[J].机械工程学报,2012(6):39-43. |
| [10] | 吴海淼;刘宏民;于丙强;杨利坡.整辊内嵌式板形检测辊瞬态温度场与应力场分析[J].钢铁,2014(5):47-51. |
| [11] | 张殿华;刘佳伟;王军生;王鹏飞.带钢冷连轧板形功效系数自学习计算模型[J].钢铁,2010(3):52-56. |
| [12] | 徐江华;李山青.基于模糊推理的板形自动控制算法及其应用[J].钢铁,2013(9):45-49. |
| [13] | 张秀玲;刘宏民.板形模式识别的GA-BP模型和改进的最小二乘法[J].钢铁,2003(10):29-34. |
| [14] | SHAN Xiu-ying;LIU Hong-min;JIA Chun-yu.Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion[J].钢铁研究学报(英文版),2010(04):39-44. |
| [15] | LIU Hong-min;SHAN Xiu-ying;JIA Chun-yu.Theory-Intelligent Dynamic Matrix Model of Flatness Control for Cold Rolled Strips[J].钢铁研究学报（英文版）,2013(08):1-7. |
| [16] | 单修迎;刘宏民;贾春玉.含有三次板形的新型板形模式识别方法[J].钢铁,2010(8):56-60. |
| [17] | 白振华;李涛;崔亚亚;郭乾勇;刘亚星;李秀军.四辊平整机组复杂浪形控制技术[J].钢铁,2015(2):43-47. |
| [18] | 宋蕾;沈明刚;陈雪波;王军生;曹忠华.冷轧机工艺冷却系统的优化控制[J].辽宁工程技术大学学报（自然科学版）,2014(5):647-650. |
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