• CN:11-2187/TH
  • ISSN:0577-6686

›› 2009, Vol. 45 ›› Issue (1): 282-287.

• 论文 • 上一篇    下一篇

基于逼近递推滤波原理的大块分离物冲击载荷自适应辨识

顾伟;褚建新   

  1. 上海海事大学航运技术与控制工程交通部重点实验室
  • 发布日期:2009-01-15

Adaptive Identification of Separated Bulk-matter Impact Load Based on Principle of Approaching Recursive Filter

GU Wei;CHU Jianxin   

  1. Marine Technology & Control Engineering Key Laboratory of Communications, Shanghai Maritime University
  • Published:2009-01-15

摘要: 散状物料输送系统的大块分离物动态检测中,大块物下落时的冲击力是一种随机性动载干扰,严重影响测量的准确性。在基于动量原理的基础上建立大块物冲击力动载模型,提出抑制瞬时冲击力的递推滤波方法。为了满足实时性要求,针对迭代递推收敛速度较慢的问题,引入收敛因子,通过一步递推残差来修正当前的递推值,使得瞬时冲击力估计的迭代递推过程大大加快。根据这一方法,构造出由冲击力估计、参考模型解算和冲击力滤波三个算法单元组成的大块分离物逼近递推滤波环节。由此,通过对冲击力的实时辨识,快速逼近计算被分离大块物的实际重量。试验表明,这种逼近递推动态检测方法能显著提高大块物测量的稳定性和准确性。

关键词: 冲击力模型, 大块物, 递推滤波, 动态检测, 输送系统

Abstract: In the dynamic detection of the separated bulk matter in scattered material conveying systems, the impact force of falling bulk matter is a kind of random dynamic interference, and impairs the measurement accuracy severely. An impact model of the bulk matter based on the momentum theory is built, and a recursive filtering method is put forward to restrain the instantaneous impact force. In order to fulfill the requirement of realtime and solve the problem of slow convergence speed of iterative recurrence, a convergence factor is introduced to modify the current interactive value by one-step recursive residual error, so that the interactive recurrence process for estimating the instantaneous impact force is accelerated greatly. According to this method, an approach iterative filter for the separated bulk matte is built, which consists of three algorithm units, i.e. impact force estimation, reference model calculation and impact force filtering. Thereby, through the real time identification of impact force, the actual weight of separated bulk matter can be quickly and approximately calculated. This dynamic detection method can greatly improve the stability and accuracy of bulk matter measurement .

Key words: Bulk-matter, Conveyer system, Dynamic detection, Impact force model, Recursive filter

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