Adaptive stabilization control of non-smooth-air-gap PMSM chaotic systems with uncertain parameters

Author

Zhao Dan ; Wang Fuzhong ; Hu Heli

Author_Institution

Dept. of Fundamental Teaching, Shenyang Inst. of Eng., Shenyang, China

fYear

2010

fDate

29-31 July 2010

Firstpage

2111

Lastpage

2114

Abstract

This paper considers the stabilization control problem of the non-smooth-air-gap permanent magnet synchronous motor (PMSM) chaotic systems with uncertain parameters. Based on the adaptive theory, a novel adaptive feedback controller is designed to stabilize the uncertain PMSM chaotic system to the zero equilibrium asymptotically. The asymptotic stability of the controlled PMSM chaotic system is proved based on Lyapunov stability theory. Simulation results demonstrate that the designed adaptive controller can stabilize the uncertain PMSM chaotic system successfully.

Keywords

Lyapunov methods; adaptive control; air gaps; asymptotic stability; control system synthesis; feedback; machine control; nonlinear control systems; permanent magnet motors; synchronous motors; uncertain systems; Lyapunov stability theory; adaptive feedback controller; adaptive stabilization control; adaptive theory; asymptotic stability; nonsmooth-air-gap permanent magnet synchronous motor chaotic systems; uncertain PMSM chaotic system; uncertain parameters; zero equilibrium; Adaptive systems; Chaos; Lyapunov method; Permanent magnet motors; Permanent magnets; Stator windings; Synchronous motors; Adaptive Stabilization; Lyapunov Stability; Non-smooth-air-gap; PMSM Chaotic System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2010 29th Chinese

Conference_Location

Beijing

Print_ISBN

978-1-4244-6263-6

Type

conf

Filename

5573934