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[1]汪正军,王军政,赵江波,等.大惯量随动系统双卡尔曼滤波预测制动控制[J].电机与控制学报,2011,(08):75-80.
 WANG Zheng-jun,WANG Jun-zheng,ZHAO Jiang-bo.Large inertia servo system predictive brake control based on dual Kalman filter[J].,2011,(08):75-80.
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大惯量随动系统双卡尔曼滤波预测制动控制(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
期数:
2011年08
页码:
75-80
栏目:
出版日期:
2011-08-20

文章信息/Info

Title:
Large inertia servo system predictive brake control based on dual Kalman filter
作者:
汪正军; 王军政; 赵江波;
北京理工大学自动化学院;
Author(s):
WANG Zheng-junWANG Jun-zhengZHAO Jiang-bo
School of Automation,Beijing Institute of Technology,Beijing 100081,China
关键词:
双卡尔曼滤波 大惯量随动系统 预测制动控制 空中机动目标 永磁同步电机
Keywords:
dual Kalman filter large inertia servo system prediction brake control aerial target permanent magnet synchronous motor
分类号:
TP275
DOI:
-
文献标志码:
A
摘要:
针对大惯量随动系统控制制动时间长、动态性能差的问题,与实际运用背景相结合,提出了对控制量进行预测,实现大惯量随动系统的预测制动控制。首先对随动跟踪对象,空中机动目标进行建模,运用双卡尔曼滤波对空中机动目标运行状态和参数进行估计和预测,根据预测结果,提前控制改进的永磁同步电机制动单元,从而实现预测制动控制。试验结果表明,双卡尔曼滤波预测制动在大惯量随动系统制动控制时,对控制量的估计较为有效,动态性能和随动控制精确度有所提升,达到了预期的控制效果。
Abstract:
Large inertia servo systems are usually associated with long brake time and poor dynamic performance.In this paper,a control strategy is proposed based on the prediction of the controller output and the practical application background to achieve predictive brake control.First,the tracking objectives were modeled,and the dual Kalman filter was utilized to estimate and predict the states and parameters of the moving aerial target.Based on these results,the brake module of the permanent magnet syn...

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备注/Memo:
北京市产学研科研基金(1010013020105)
更新日期/Last Update: 2012-03-31