| 改进滑动平均滤波在PSO辨识中的应用 |
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| 引用本文： | 宫向阳,赵振兴.改进滑动平均滤波在PSO辨识中的应用[J].控制工程,2011,18(4):556-558,609. |
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| 作者姓名： | 宫向阳 赵振兴 |
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| 作者单位： | 1. 中国石油化工集团公司信息系统管理部,北京,100728
2. 北京化工大学信息科学与技术学院,北京,100029 |
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| 基金项目： | 863项目:多变量内模控制的工程化应用,研究及实现(2008AA042131); 973项目:工业生物技术的过程科学科技术研究(2007CB714300) |
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| 摘 要： | 在实际系统信号中不可避免的会存在噪声和瞬时扰动,噪声过大会严重影响粒子群优化算法(pso)的辨识结果.针对强噪声环境下利用PSO算法进行参数辨识精度差甚至不能收敛的问题,提出了一种改进的滑动平均滤波算法,通过动态修正滑动平均后的数据相位,来实现无滞后的滑动平均滤波效果.仿真实验表明,对这种改进滑动平均滤波算法应用于PS...
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| 关 键 词： | 强噪声 滑动平均滤波 粒子群优化 参数辨识 |
Application of Improved Moving Average Filter to Identification of PSO |
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| GONG Xiang-yang,ZHAO Zhen-xing.Application of Improved Moving Average Filter to Identification of PSO[J].Control Engineering of China,2011,18(4):556-558,609. |
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| Authors: | GONG Xiang-yang ZHAO Zhen-xing |
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| Affiliation: | GONG Xiang-yang1,ZHAO Zhen-xing2(1.Information Management Department,China Petrochemical Corporation,Beijing 100728,China,2.College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China) |
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| Abstract: | The problem of additive noise and instantaneous disturbance producing the advers influences to system identification is discussed.Strong noise will seriously affect the identification results and the particle swarm optimization(PSO)algorithm may not converge due to the interference of noise in the process of identification.An improved moving average filter algorithm is proposed.The moving average filtering result without lag is obtained by using the data phase by dynamic phase correction,PSO method can iden... |
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| Keywords: | strong noise parameter identification PSO moving average filter |
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