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| 基于遗传算法的燃煤系统自寻优控制 | |
| 引用本文： | 赵承滨,王明杰,王新伟.基于遗传算法的燃煤系统自寻优控制[J].煤矿机械,2008,29(7):165-167. |
| 作者姓名： | 赵承滨 王明杰 王新伟 |
| 作者单位： | 1. 黑龙江科技学院,哈尔滨,150027 2. 哈尔滨煤矿机械研究所,哈尔滨,150036 3. 深圳职业技术学院,广东,深圳,518029 |
| 摘 要： | 通过比较常见的搜索方法及其特点,总结出研究遗传算法的必要性。以最佳风煤比作为寻优目标,以效率作为适应度函数,探讨了将遗传算法应用于工业锅炉燃烧系统的自寻优控制。仿真结果表明:该法具有寻优速度快、鲁棒性强等特点。 |
| 关 键 词： | 遗传算法 工业锅炉 燃烧效率 自寻优 |
| 文章编号： | 1003-0794(2008)07-0165-03 |
| 修稿时间： | 2008年1月20日 |
Self-optimization Control in Combustion System Using Genetic Algorithms |
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| ZHAO Cheng-bin,WANG Ming-jie,WANG Xin-wei.Self-optimization Control in Combustion System Using Genetic Algorithms[J].Coal Mine Machinery,2008,29(7):165-167. | |
| Authors: | ZHAO Cheng-bin WANG Ming-jie WANG Xin-wei |
| Abstract: | Through the comparison of the general researching methods and their characteristics,reaches a conclusion on the essentiality of genetic algorithms.With optimum air-coal ratio and efficiency as objective and adaptive function,also analyzes the self-optimization control in combustion system of boiler based on the genetic algorithms.The simulation results indicated that this method has the characteristics of faster pace of optimization and the stronger robust. |
| Keywords: | genetic algorithms industrial boilers efficiency of combustion self-optimization |
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