电弧炉电极调节系统的模糊解耦控制器

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摘要由于电弧炉三个电极之间存在耦合作用,严重影响了三相电极的控制效果,而普通单相控制方法因未考虑耦合易出现较大的失调.本文在分析三相电极耦合关系基础上,推导出电流补偿解耦方法.该方法对电极解耦有理论意义,但补偿系数与弧长实时相关且计算量较大.故在电流补偿解耦方法基础上又引入了单输入双输出的模糊器进行补偿解耦.通过Matlab/Simulink软件对其解耦性,抗干扰性进行仿真并对现场采集的数据进行解耦前后的比较,结果表明模糊补偿解耦器能消除三相电极之间的强耦合作用,提高电弧炉炼钢效率及降低能耗.

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	鲁军
	霍金彪
	张广跃

关键词 ：电弧炉, 三相耦合, 解耦, 模糊控制器, 仿真

Abstract：The control effect of three-phase electrode is severely affected by the coupling between three electrode of electric arc furnace, and the large maladjustment is easy to occur in ordinary single-phase control method without considering the coupling. On the basis of analyzing the three- phase electrode coupled, a decoupling method on current compensation is derived in this paper. The method has theoretical significance for electrode decoupling, but the compensation coefficient is associated with the arc length on time and the computational complexity is very great. Therefore, a fuzzy controller of single-input and double-output, which is used to compensate and decouple, is introduced based on decoupling method of the current compensation. Simulation is made on decoupling performance and noise immunity of the controller by Matlab/Simulink and the comparison has been made before and after decoupling by the collected data on field. The results show that the fuzzy decoupling controller can eliminate the strong coupling effect between the three-phase electrodes, and improve the efficiency and reduce energy consumption of electric arc furnace steelmaking.

Key words： Electric arc furnace three-phase coupling decoupling fuzzy controller simulation

收稿日期: 2014-11-20 出版日期: 2015-09-14

PACS:

TP273

基金资助:国家自然科学基金(51377110),辽宁省自然科学基金(201102184)和沈阳市科技计划(F12-277-1-28)资助项目

作者简介: 鲁军男,1965年生,博士,副教授,研究方向为智能材料及智能控制系统.霍金彪男,1990年生,硕士研究生,研究方向为控制理论与控制工程.

引用本文:

鲁军,霍金彪,张广跃. 电弧炉电极调节系统的模糊解耦控制器[J]. 电工技术学报, 2015, 30(12): 27-33. Lu Jun,Huo Jinbiao,Zhang Guangyue. Fuzzy Decoupling Controller on Electrode Regulator System of Electric Arc Furnace. Transactions of China Electrotechnical Society, 2015, 30(12): 27-33.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2015/V30/I12/27

[1] 毛志忠, 李健. 具有前馈环节的电弧炉电极升降自适应控制器[J]. 东北大学学报(自然科学版), 1996, 17(1): 65-68. Mao Zhizhong, Li Jian. Adaptive controller of an electric arc furnace with feedforward[J]. Journal of Northeastern University (Natural Science), 1996, 17(1): 65-68.
[2] Anna S H, Arnar G, Ariv V. Current control of a three-phase submerged arc ferrosilicon furnace[J]. Control Engineering Practice, 2002, 10 (4): 457-463.
[3] 赵辉, 吴晓辰, 王红君, 等. 电弧炉电极调节器的优化仿真[J]. 计算机仿真, 2012, 29(5): 192-195. Zhao Hui, Wu Xiaochen, Wang Hongjun, et al. Electrode adjustment of electric arc furnace based on DRNN neural network PID controller[J]. Journal of Computer Simulation, 2012, 29(5): 192-195.
[4] Shu Huailin, Pi Youguo. Decoupled temperature control system based on PID neural network[C]. ACESE05 Conference, Cairo: Acse, 2005: 19-28.
[5] 池世春. 模糊PID算法在电弧炉电极控制中的研究[D]. 沈阳: 东北大学, 2005.
[6] 骆玲玲. 电弧炉电极调节系统的智能解耦控制[D]. 沈阳: 东北大学, 2009.
[7] Wang L X. Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transaction on Fuzzy Systems, 1993, 1 (2): 146-155.
[8] 张绍德, 毛雪菲, 毛雪芹. 基于最近邻聚类支持向量机辨识的电弧炉电极逆控制[J]. 控制理论与应用, 2010, 27(7): 909-915. Zhang Shaode, Mao Xuefei, Mao Xueqin. Inverse control for electrodes in electric arc furnace based on support-vector-machines identification on nearest neighbor clustering[J]. Journal of Control Theory and Applications, 2010, 27(7): 909-915.
[9] 李媛, 王建, 王艳秋. 三相电极调节器的建模及其仿真研究[J]. 电工技术学报, 1999, 14(1): 23-26. Li Yuan, Wang Jian, Wang Yanqiu. Mathematical modelling of the three-phase electrode regulator and simulation[J]. Journal of Transactions of China Electrotechnical Society, 1999, 14(1): 23-26.
[10] 李磊, 毛志忠. 基于近似模型的电弧炉解耦控制器[J]. 控制理论与应用, 2013, 30(1): 101-110. Li Lei, Mao Zhizhong. Approximate model based decoupling controller for electric arc furnace[J]. Journal of Control Theory and Applications, 2013, 30(1): 101-110.
[11] 李强, 潘永湘, 余健明, 等. 综合智能控制策略在电弧炉控制中的应用[J]. 电工技术学报, 2003, 18(1): 100-104. Li Qiang, Pan Yongxiang, Yu Jiang, et al. Application of genetic neural control strategies in high-impedance electric arc furnace[J]. Transactions of China Elec- trotechnical Society, 2003, 18(1): 100-104.
[12] 王琰, 毛志忠, 田慧欣, 等. 基于自适应变异差分进化算法的电弧时域模型[J]. 仪器仪表学报, 2009, 30(3): 554-558. Wang Yan, Mao Zhizhong, Tian Huixin, et al. Time domain electric arc model based on ADE[J]. Chinese Journal of Scientific Instrument, 2009, 30(3): 554- 558.
[13] 蒯熔, 刘小河. 电弧炉电极调节系统的模糊-PID控制研究[J]. 机床与液压, 2008, 36(7): 270-272. Kuai Rong, Liu Xiaohe. Research on fuzzy PID control for electric furnace[J]. Journal of Machine Tool and Hydraulics, 2008, 36(7): 270-272.
[14] 增光奇, 胡均安, 王东, 等. 模糊控制理论与工程应用[M]. 武汉: 华中科技大学出版社, 2006.
[15] Mokhtari H, Hejri M. A new three phase time- domain model for electric arc furnaces using Matlab[C]. Trans- mission and Distribution Conference and Exhibition, 2002, vol. 3: 2078-2083.
[16] 石新春, 付超, 马巍巍, 等. 基于实测数据的电弧炉实时数字仿真模型及其实现[J]. 电工技术学报, 2009, 24(7): 177-182. Shi Xinchun, Fu Chao, Ma Weiwei, et al. A real-time digital simulation model and its implementation for arc furnace based on recorded field data[J]. Transac- tions of China Electrotechnical Society, 2009, 24(7): 177-182.