| 基于遗传算法的模糊PI控制在蓄电池智能充电中的应用 |
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| 引用本文： | 孙红,田沛.基于遗传算法的模糊PI控制在蓄电池智能充电中的应用[J].电池工业,2014(5):314-317. |
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| 作者姓名： | 孙红 田沛 |
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| 作者单位： | 华北电力大学自动化系,河北保定071003 |
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| 摘 要： | 蓄电池充电系统是一个变参数系统，但常规模糊控制器所使用的控制参数及规则在使用过程中不能随被控对象参数的改变而改变，导致控制性能不佳。针对传统的模糊控制系统的不足，提出基于遗传算法的模糊PI控制规则优化方法，并利用大时滞对象作为充电系统的被控对象做仿真分析，得出基于遗传算法的模糊PI控制优于常规模糊PI控制。
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| 关 键 词： | 模糊PI控制 遗传算法 充电系统 蓄电池 |
Fuzzy PI control based on genetic algorithm used on the charging system of battery |
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| SUN Hong,TIAN Pei.Fuzzy PI control based on genetic algorithm used on the charging system of battery[J].Chinese Battery Industry,2014(5):314-317. |
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| Authors: | SUN Hong TIAN Pei |
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| Affiliation: | (Department of Automation, North China Electric Power University, BaoDing, HeBei 071003, China) |
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| Abstract: | The parameter of battery charging system is changeable. However, the controlling pa- rameters and rules of general fuzzy controller can＇t be changed with the change of controlled object, which lead to the poor controlling performance. As the shortcuts of general fuzzy control system,a optimization method of fuzzy PI controlling rules based on genetic algorithm is put forward. And using the large delay object as the charging system, it is concluded that the optimization method is better than general fuzzy PI control after some simulation and analysis. |
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| Keywords: | fuzzy PI control genetic algorithm charging system secondary battery |
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