Parameters optimization and dynamic characteristic analysis of maglev spindle control system

Author

Deng, Liang ; Song, Fangzhen ; Song, Bo

Author_Institution

Sch. of Mech. Eng., Univ. of Jinan, Jinan, China

fYear

2012

fDate

6-8 July 2012

Firstpage

2403

Lastpage

2406

Abstract

On the basis of the maglev spindle structure design, the PID control system is designed and its mathematical model is established. The influence of the PID control parameters on the response performance of the system is studied by using the MATLAB SISO. The global optimization design of the PID control system is achieved by using SRO (Simulink Response Optimization) module, and the system response performance of the maglev spindle achieves the best. It provides a more efficient and fast method for the parameter selection of maglev spindle control system.

Keywords

control system synthesis; machine tool spindles; magnetic levitation; optimisation; parameter estimation; three-term control; MATLAB SISO; PID control parameters; PID control system design; SRO module; Simulink response optimization module; dynamic characteristic analysis; global optimization design; maglev spindle control system; maglev spindle structure design; mathematical model; parameter optimization; parameter selection; system response performance; Educational institutions; Magnetic levitation; Mathematical model; Optimization; PD control; Steady-state; Maglev spindle; Optimization; PID control; SISO; SRO;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6358275

Filename

6358275