| 人工蜂群算法在飞轮充电控制系统中的应用研究 |
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| 引用本文： | 曹文平,李伟华,王利鑫,冯振林. 人工蜂群算法在飞轮充电控制系统中的应用研究[J]. 华东电力, 2011, 0(9) |
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| 作者姓名： | 曹文平 李伟华 王利鑫 冯振林 |
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| 作者单位： | 暨南大学电气信息学院; |
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| 基金项目： | 国家自然科学基金青年项目资助(51007030)~~ |
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| 摘 要： | 飞轮储能系统中飞轮电机非线性、变参数等特性的存在,导致其充电控制系统转速环PID控制器的参数整定存在一定的困难。将人工蜂群算法应用于飞轮充电控制系统中对PID参数进行优化。提出了基于人工蜂群算法优化PID参数的具体流程,分别采用人工蜂群算法、遗传算法和蚁群算法优化飞轮充电控制系统PID控制器,并通过仿真进行性能对比分析,结果表明基于人工蜂群算法整定的PID控制器的阶跃响应具有最短的上升时间和最少的迭代次数,效果最好,验证了人工蜂群算法优化飞轮充电的优越性。
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| 关 键 词： | 飞轮充电控制系统 人工蜂群算法 PID控制器 参数优化 |
Application Research of Artificial Bee Colony Algorithm to Flywheel Charging Control System |
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| CAO Wen-ping,LI Wei-hua,WANG Li-xin,FENG Zhen-lin. Application Research of Artificial Bee Colony Algorithm to Flywheel Charging Control System[J]. East China Electric Power, 2011, 0(9) |
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| Authors: | CAO Wen-ping LI Wei-hua WANG Li-xin FENG Zhen-lin |
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| Affiliation: | CAO Wen-ping,LI Wei-hua,WANG Li-xin,FENG Zhen-lin(Electrical and Information College,Jinan University,Zhuhai 519070,China) |
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| Abstract: | It is difficult to definite the PID controller parameters in the speed loop of the flywheel charging control system,owing to the nonlinearity and the varying parameters of the flywheel motor.Artificial Bee Colony(ABC) algorithm is introduced to optimize the PID parameters in the control system of flywheel charging.This paper presents the whole process of optimizing the PID parameters by ABC algorithm.Then comparison is made in terms of the effect of optimizing the PID parameters between ABC algorithm,geneti... |
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| Keywords: | flywheel charging control system artificial bee colony algorithm PID controller parameters optimization |
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