Tracking Control for a class of Stochastic Systems in Motors permanent magnet synchronous motors

被引：0

作者：

范学志 ^{[1
]}

机构：

[1] Qingdao University

来源：

科技经济导刊 | 2018年 / 03期

关键词：

Stochastic nonlinear systems; Neural networks; PMSM;

D O I：

暂无

中图分类号：

TM341 [同步电机];

学科分类号：

080801 ;

摘要：

This paper studies the problem of adaptive neural tracking control for permanent magnet synchronous motors(PMSM)stochastic nonlinear systems.The proposed controller ensures that all signals of the closed loop system remain bounded in probability,and the tracking error converges to an arbitrarily small neighborhood around the origin.Simulation results demonstrate the effectiveness of the proposed approach.

引用

页码：61 / 62

页数：2

共 4 条

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[3]

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[4]

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