[1]肖庆玲,于军琪,王海峰.基于遗传算法的蓄热式镁还原炉温度控制优化[J].西安建筑科技大学学报:自然科学版,2012,44(04):605-608.[doi:10.15986/j.1006-7930.2012.04.027]
 XIAO Qing-ling,YU Jun-qi,WANG Hai-feng.Optimization of temperature control of regenerative magnesium reducing furnace based on genetic algorithm[J].J.Xi’an Univ. of Arch. & Tech.:Natural Science Edition,2012,44(04):605-608.[doi:10.15986/j.1006-7930.2012.04.027]
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基于遗传算法的蓄热式镁还原炉温度控制优化()
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西安建筑科技大学学报:自然科学版[ISSN:1006-7930/CN:61-1295/TU]

卷:
44
期数:
2012年04期
页码:
605-608
栏目:
出版日期:
2012-08-31

文章信息/Info

Title:
Optimization of temperature control of regenerative magnesium reducing furnace based on genetic algorithm
文章编号:
1006-7930(2012)04-0605-04
作者:
肖庆玲1于军琪2王海峰1
(1.西安建筑科技大学建筑设计研究院,陕西 西安 710055;2.西安建筑科技大学信控学院,陕西 西安 710055)
Author(s):
XIAO Qing-ling1 YU Jun-qi2 WANG Hai-feng1
(1.Inst. of Arch. Desi., Xian Univ. of Arch. & Tech., Xian 710055,China; 2.Info. & Cont. Engi. school, Xian Univ. of Arch.& Tech. Xian 71005,China)
关键词:
蓄热式镁还原炉温度遗传算法
Keywords:
regenerative magnesium reducing furnace temperature genetic algorithm
分类号:
TP202+.7
DOI:
10.15986/j.1006-7930.2012.04.027
文献标志码:
A
摘要:
蓄热式镁还原炉是复杂的受控对象,其中温度是最主要的影响因素.为了满足系统要求,改善控制系统性能,利用遗传算法优化PID控制器的三个参数,使其温度达到最佳性能指标.仿真试验结果表明,采用此算法改善了蓄热式镁还原炉温度控制系统的性能,增强了蓄热式镁还原炉中温度调节的平滑性,提高了原料在此系统上的利用效率,节省了常规能源
Abstract:
Heat accumulation magnesium reducing furnace is a complex controlled object, with temperature as the main factor. In order to meet the requirements and improve control system performance, PID control based on genetic algorithms is used. Genetic algorithm is adopted to optimize the three parameters of PID controller to achieve the best performance value. The temperature control system performance of the regenerative magnesium reduction furnace is improved with algorithm through simulation. The smoothness and raw material utilization efficiency of this system are enhanced to save the conventional energy

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2011-05-10 修改稿日期:2012-05-03
作者简介:肖庆玲(1985-),女,黑龙江大庆人,硕士,主要从事建筑电气方面的设计.
更新日期/Last Update: 2015-09-01