基于支持向量机和Wiener模型的内模控制方法研究

孙兆萍;陈 娟

北京化工大学学报(自然科学版) ›› 2014, Vol. 41 ›› Issue (6) : 98-102.

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北京化工大学学报(自然科学版) ›› 2014, Vol. 41 ›› Issue (6) : 98-102.
机电工程和信息科学

基于支持向量机和Wiener模型的内模控制方法研究

  • 孙兆萍;陈 娟
作者信息 +

An internal model control method based on a support vector machine and the Wiener model

  • SUN ZhaoPing;CHEN Juan
Author information +
文章历史 +

摘要

针对工业过程的被控对象许多是非线性的问题,采用由一个线性模型和一个静态非线性模型组成的Wiener模型来代表过程对象的模型。对于Wiener模型中的非线性部分,提出利用支持向量机求取α阶逆模型,从而将非线性模型转化为线性模型,进而设计内模控制器。直流电机的控制和pH中和反应过程控制的仿真实例表明,本文所提方法建立的逆模型精度高、控制跟踪性好,并对扰动体现出较强的鲁棒性和较好的控制精度,是解决Wiener模型控制的一种可行的方法。

Abstract

Many industrial processes are nonlinear controlled objects. For such nonlinear problems, this paper adopts the Wiener model to represent the process object model, which is composed of a linear model and a static nonlinear model. For the nonlinear part of the Wiener model, this work uses a support vector machine to obtain its order inverse model, while the nonlinear model is transformed into a linear model, and its internal model controller is designed. DC motor control and simulations of the control of a pH neutralization process show the method used to establish the inverse model has high accuracy, good control tracking, good resistance to disturbance and good control accuracy, confirming that it is a viable method to solve the Wiener model of control.

引用本文

导出引用
孙兆萍;陈 娟. 基于支持向量机和Wiener模型的内模控制方法研究[J]. 北京化工大学学报(自然科学版), 2014, 41(6): 98-102
SUN ZhaoPing;CHEN Juan. An internal model control method based on a support vector machine and the Wiener model[J]. Journal of Beijing University of Chemical Technology, 2014, 41(6): 98-102

参考文献

[1] 桂卫华, 宋海鹰, 阳春华. Hammerstein-Wiener模型最小二乘向量机辨识及其应用[J]. 控制理论与应用, 2008, 25(3):393-397. 
Gui W H, Song H Y, Yang C H. Hammerstein-Wiener model identified by least-squares-support-vector machine and its application[J]. Control Theory and Applications, 2008, 25(3):393-397. (in Chinese)
[2] 孔波. 广义预测控制算法及Wiener模型研究与仿真[D]. 杭州: 杭州电子科技大学, 2009:38-45. 
Kong B. Generalized predictive control algorithm with wiener model research and simulation[D]. Hangzhou: Hangzhou University of Electronic Science and Technology, 2009:38-45. (in Chinese)
[3] 张艳, 李少远, 王笑波, 等. 基于粒子群优化的Wiener模型辨识与实例研究[J]. 控制理论与应用, 2006, 23(6):991-995. 
Zhang Y, Li S Y, Wang X B, et al. Particle swarm optimal identification of Wiener model and a case study[J]. Control Theory and Applications, 2006, 23(6):991-995. (in Chinese)
[4] Kim K K, Rios-Patron E, Braatz R D. Robust nonlinear internal model control of stable Wiener systems[J]. Journal of Process Control, 2012, 22:1468-1477.
[5] Wang Y N, Yuan X F. SVM approximate-based internal model control strategy[J]. Acta Automatica Sinica, 2008, 34(2):72-179. 
[6] 陈娟, 郭敏, 彭亚为, 等. 基于新型滤波器的内模控制器设计[J]. 北京理工大学学报: 自然科学中文版, 2012, 32(11):1145-1148. 
Chen J, Guo M, Peng Y W, et al. Design of internal model controller using novel filter[J]. Transactions of Beijing Institute of Technology, 2012, 32(11):1145-1148. (in Chinese)
[7] 董翠英, 陈娟. 基于逆系统方法的内模控制在伺服系统低速问题中的研究[J]. 北京化工大学学报: 自然科学版, 2005, 32(2):98-100. 
Dong C Y, Chen J. Low velocity problems in a servo system by internal model control based on an inverse system method[J]. Journal of Beijing University of Chemical Technology: Natural Science, 2005, 32(2): 98-100. (in Chinese)
[8] Lakshmi Narayanan N R, Krishnaswamy P R, Rangaiah G P. An adaptive internal model control strategy for pH neutralization[J]. Chemical Engineering Science, 1997, 52(18):3067-3074.
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