| 注册
首页|期刊导航|江苏大学学报(自然科学版)|两电机变频调速系统的改进RLS逆模型辨识

两电机变频调速系统的改进RLS逆模型辨识

张懿 魏海峰

江苏大学学报(自然科学版)2013,Vol.34Issue(4):435-439,5.
江苏大学学报(自然科学版)2013,Vol.34Issue(4):435-439,5.DOI:10.3969/j.issn.1671-7775.2013.04.012

两电机变频调速系统的改进RLS逆模型辨识

Inverse model identification for two-motor variable frequency speed-regulating system based on modified RLS algorithm

张懿 1魏海峰1

作者信息

  • 1. 江苏科技大学电子信息学院,江苏镇江212003
  • 折叠

摘要

Abstract

To solve the defects of conventional inverse model identification methods for two-motor variable frequency speed-regulating system,a multi-model least squares support vector machines (LSSVM) modeling method was proposed.Based on multi-model,the LSSVM was used to fit the nonlinear mapping of local inverse models.The estimation of every LSSVM local model was fused by computing the weighted sum of local models to build the initial off-line inverse model of the system.According to system deviation,the modified recursive least-squares (RLS) algorithm was adopted to adjust the weights adaptively.The initial inverse model was corrected online to improve identification accuracy and convergence rate.The two-motor variable frequency speed-regulating system and the corresponding invertibility were analyzed,and the improved RLS algorithm and LSSVM algorithm were described.The steps of realizing multiple-model LSSVM identification scheme was provided to achieve the simulation of identification effect.The simulation results show that the proposed method is suitable for the inverse model identification of two-motor variable frequency speed-regulating system.

关键词

逆模型辨识/两电机变频调速系统/最小二乘支持向量机/递归最小二乘算法/多模型

Key words

inverse model identification/ two-motor variable frequency speed-regulating system/ least squares support vector machine/ recursive least-squares algorithm/ multi-mode

分类

信息技术与安全科学

引用本文复制引用

张懿,魏海峰..两电机变频调速系统的改进RLS逆模型辨识[J].江苏大学学报(自然科学版),2013,34(4):435-439,5.

基金项目

国家自然科学基金资助项目(51077066) (51077066)

光机电装备技术北京市重点实验室基金资助项目(KF2012-04) (KF2012-04)

江苏高校优势学科建设工程项目(苏政办发[2011]6号) (苏政办发[2011]6号)

江苏大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1671-7775

访问量0
|
下载量0
段落导航相关论文