Optimizing Karnopp friction model parameters of a pendulum using RSM

被引：13

作者：

Bicakci, Sabri ^{[1
]}

Akdas, Davut ^{[1
]}

Karaoglan, Asian Deniz ^{[2
]}

机构：

[1] Balikesir Univ, Dept Elect & Elect Engn, TR-10145 Balikesir, Turkey

[2] Balikesir Univ, Dept Ind Engn, TR-10145 Balikesir, Turkey

来源：

EUROPEAN JOURNAL OF CONTROL | 2014年 / 20卷 / 04期

关键词：

Pendulum; Karnopp friction model; Response surface methodology; Friction parameter identification; OPTIMIZATION;

D O I：

10.1016/j.ejcon.2014.04.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate mathematical models of physical systems are essential for understanding the behaviour of actual systems under different operating conditions and for designing control systems. In mechanical systems, difficulty of the exact determination of friction force parameters adversely affects the accuracy of the models. In this study, Karnopp friction model is chosen in order to model the friction parameters of the bob of a pendulum. The parameters are determined by sectioning the speed regions and then using "Response Surface Methodology" (RSM) by sectioning the speed regions. Proposed method has produced accurate yet simple model of the friction parameters. (C) 2014 European Control Association. Published by Elsevier Ltd. All rights reserved.

引用

页码：180 / 187

页数：8

共 27 条

[1] Analysis, modeling, identification and control of pancake DC torque motors: Application to automobile air path actuators [J].

Ahmed, Fayez S. ;

Laghrouche, Salah ;

El Bagdouri, Mohammed .

MECHATRONICS, 2012, 22 (02) :195-212

[2]

[Anonymous], 1991, J TRIBOL, DOI DOI 10.1115/1.2920929

[3]

[Anonymous], 2007, Numerical Recipes

[4]

[Anonymous], 1979, ANSIISA5111979

[5] A SURVEY OF MODELS, ANALYSIS TOOLS AND COMPENSATION METHODS FOR THE CONTROL OF MACHINES WITH FRICTION [J].

ARMSTRONGHELOUVRY, B ;

DUPONT, P ;

DEWIT, CC .

AUTOMATICA, 1994, 30 (07) :1083-1138

[6] Optimization of reinforcement content and sliding distance for AlSi7Mg/SiCp composites using response surface methodology [J].

Bayhan, M. ;

Onel, K. .

MATERIALS & DESIGN, 2010, 31 (06) :3015-3022

[7] Multivariable predictive control for vibrating structures: An application [J].

Bossi, L. ;

Rottenbacher, C. ;

Mimmi, G. ;

Magni, L. .

CONTROL ENGINEERING PRACTICE, 2011, 19 (10) :1087-1098

[8] ON THE EXPERIMENTAL ATTAINMENT OF OPTIMUM CONDITIONS [J].

BOX, GEP ;

WILSON, KB .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1951, 13 (01) :1-45

[9]

Dahl PR, 1968, SOLID FRICTION MODEL

[10]

Detchmendy D.M., 1966, J BASIC ENG, P362

← 1 2 3 →