Indirect adaptive fuzzy controller design for vertical direct-driven servo system

Author

Xu, Xing ; Cai, Tao ; Wang, Guanghui ; Xu, Zhishu

Author_Institution

Sch. of Autom., Beijing Inst. of Technol., Beijing, China

fYear

2012

fDate

6-8 July 2012

Firstpage

1953

Lastpage

1957

Abstract

In order to deal with the uncertainties and nonlinearities within a permanent magnet line synchronous motor (PMLSM) vertical servo system, such as friction, thrust ripple and external disturbance, an indirect adaptive fuzzy (IAF) controller designed. The IAF controller comprises a supervisory controller and an equivalent controller. The supervisory controller is proved to guarantee the tracking error asymptotically stable without any requirement on the optimal approximation error (OAE). Simulation illustrate that the IAF controller can make the servo system track the reference signal accurately and has good robustness.

Keywords

adaptive control; approximation theory; asymptotic stability; control nonlinearities; control system synthesis; friction; fuzzy control; machine control; optimal control; permanent magnet motors; robust control; servomechanisms; synchronous motors; uncertain systems; IAF controller; OAE; PMLSM vertical servo system; asymptotic stability; equivalent controller; external disturbance; friction; indirect adaptive fuzzy controller design; nonlinearities; optimal approximation error; permanent magnet line synchronous motor; reference signal; robustness; supervisory controller; thrust ripple; tracking error; uncertainties; vertical direct-driven servo system; Adaptation models; Adaptive systems; Approximation error; Equations; Fuzzy control; Mathematical model; Servomotors; adaptive; fuzzy control; servo system; vertical direct-driven;

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.2012.6358196

Filename

6358196