Stochastic position control for Permanent Magnet Synchronous Motor

Author

Yang, Jun ; Wu, Zhaojing

Author_Institution

Sch. of Math. & Inf. Sci., Yantai Univ., Yantai, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2192

Lastpage

2197

Abstract

This paper considers the problem of stochastic position control for Permanent Magnet Synchronous Motors( PMSM). The work of this paper is two-fold. Firstly, by adding the winer process to the voltage and adding the markov process to the load torque, a more realistic model of PMSM is proposed. Secondly, by using the backstepping design technique, the closed-loop system has a unique solution that is bounded in probability and L₄-norm of the tracking error converges to an arbitrarily small neighborhood of the origin in probability.

Keywords

Markov processes; control system synthesis; machine control; permanent magnet motors; probability; synchronous motors; torque control; Markov process; backstepping design technique; closed-loop system; load torque; permanent magnet synchronous motor; probability; stochastic position control; winer process; Adaptive control; Backstepping; Markov processes; Permanent magnet motors; Position control; Programmable control; Sliding mode control; Stochastic processes; Torque; Voltage; Backstepping; Markov Process; PMSM;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498852

Filename

5498852