Stochastic Position Control for Permanent Magnet Synchronous Motor
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.
PMSM Backstepping Markov Process
Jun Yang ZhaoJing Wu
School of Mathematics and Information Science, Yantai University, Yantai, Shandong Province, 264005, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2192-2197
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）