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细菌觅食优化的智能PID控制 被引量：7

Intelligent PID controller based on bacterial foraging optimization
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摘要 传统的PID在控制过程中,尤其针对复杂被控对象易产生振荡和较大的超调,甚至控制系统无法稳定,为了解决这个问题,采用了一种新的基于细菌觅食优化(Bacterial Foraging Optimization,BFO)的智能PID控制方法,针对该算法收敛速度慢的缺陷,对步长及搜索范围做了一定的分析改进。通过与粒子群优化(Particle Swarm Optimization,PSO)智能PID参数整定控制的仿真结果比较,特别是在系统的动态性能指标以及输入信号的跟踪情况等方面进行对比分析,得出基于BFO智能PID控制的优缺点及有效性。 The traditional PID controller may easily lead to produce oscillation and big overshoot.Even the system is not stable in the control progress,especially for the complex system.In order to solve the problems,a new intelligent PID control method based on Bacterial Foraging Optimization（BFO） is used.This method is analyzed and improved.The simulation results are compared with the Particle Swarm Optimization（PSO） intelligent PID parameter tuning method,especially in the system dynamic performances and the input signal track.The advantages,disadvantages and effectiveness of the intelligent PID control based on BFO are shown from the simulation results.
作者 黄伟锋 林卫星 范怀科 史夏波 程涛
机构地区 宁波大学信息科学与工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2011年第21期82-85,165,共5页 Computer Engineering and Applications
基金 浙江省教育厅重点项目(No.Z201017236)
关键词 PID控制 细菌觅食优化 粒子群优化 参数整定 PID control Bacterial Foraging Optimization（BFO） Particle Swarm Optimization（PSO） parameters tuning
分类号 TP273.2 [自动化与计算机技术—检测技术与自动化装置]
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参考文献14

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二级参考文献91

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共引文献114

同被引文献43

  • 1李威武,王慧,邹志君,钱积新.基于细菌群体趋药性的函数优化方法[J].电路与系统学报,2005,10(1):58-63. 被引量：92
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引证文献7

二级引证文献16

计算机工程与应用
2011年 第21期

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