Title :
Stochastic position control for Permanent Magnet Synchronous Motor
Author :
Yang, Jun ; Wu, Zhaojing
Author_Institution :
Sch. of Math. & Inf. Sci., Yantai Univ., Yantai, China
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;
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
DOI :
10.1109/CCDC.2010.5498852
