| 粒子群优化算法用于二阶状态变量滤波器的设计 |
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| 引用本文： | 李春菊,李尧,张志美,王洪刚,乔双. 粒子群优化算法用于二阶状态变量滤波器的设计[J]. 东北师大学报(自然科学版), 2007, 39(1): 46-50 |
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| 作者姓名： | 李春菊 李尧 张志美 王洪刚 乔双 |
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| 作者单位： | 东北师范大学物理学院,吉林,长春,130024;北华大学师范理学院物理系,吉林,吉林,132013;鲁东大学物理与电子工程学院,山东,烟台,264025 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 用粒子群优化算法设计了高Q值二阶状态变量滤波器,有效地解决了基本遗传算法设计电路存在的收敛速度慢、易早熟的问题.用Pspice对设计出的滤波器进行仿真,得到了令人满意的结果.结果表明,在平均收敛代数和平均收敛时间两个重要指标上,粒子群优化算法明显优于基本遗传算法.
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| 关 键 词： | 粒子群优化算法 二阶状态变量滤波器 仿真 |
| 文章编号： | 1000-1832（2007）01-0046-05 |
| 收稿时间： | 2006-08-29 |
| 修稿时间： | 2006-08-29 |
Particle swarm optimization in two orders state variable filter's design |
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| LI Chun-ju,LI Yao,ZHANG Zhi-mei,WANG Hong-gang,QIAO Shuang. Particle swarm optimization in two orders state variable filter's design[J]. Journal of Northeast Normal University (Natural Science Edition), 2007, 39(1): 46-50 |
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| Authors: | LI Chun-ju LI Yao ZHANG Zhi-mei WANG Hong-gang QIAO Shuang |
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| Affiliation: | 1. College of Physies, Northeast Normal University, Changehun 130024, China; 2 .Physics Department of Normal Seienee Institute, Beihna University , Jilin 132013 ,China; 3. Physics and Eleetrie Engineering School, Ludong University, Yantai 264025, China |
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| Abstract: | Introduced a new design method of the second-order state variable filter with the high Q using the particle swarm optimization. The method efficiently solves the problems existing in basic genetic algorithms used to design this electric circuit.The problems include slow convergence speed and easy precociousness.The evolution results were emulated in Pspice,and they were satisfying.Lots of experiment results indicate that the important indexes of average convergence generation and average convergence time are much better in particle swarm optimization than in basic genetic algorithms. |
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| Keywords: | particle swarm optimization second-order state variable filter emulation |
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