• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (1): 187-190.

• 论文 • 上一篇    下一篇

基于动态模型自适应辨识原理的起重质量检测技术

顾伟;褚建新;李海量   

  1. 上海海事大学电气自动化研究所
  • 发布日期:2006-01-15

DETECTING TECHNIQUE FOR LIFTED LOAD BASED ON SELF-ADAPTIVE IDENTIFICATION OF DYNAMIC MODEL

GU Wei;CHU Jianxin;LI Hailiang   

  1. Electrical Automation Institute, Shanghai Maritime University
  • Published:2006-01-15

摘要: 港口装卸起重机工作环境恶劣,起动制动频繁。为了检测港口起重机动态运行时的起重质量,研制了一种基于动态模型辨识原理的自适应滤波器,有效地克服了起制动过程的加速度干扰和动量冲击干扰;建立了模型参数离线预估计算法,提高了实时检测速度;设计了零速空载零位自辨识跟踪技术,消除了检测系统的零点漂移影响。应用结果表明,新技术提高了起重质量检测的准确性。

关键词: 辨识, 动态模型, 检测, 起重质量, 自适应

Abstract: Port handling crane starts or brakes frequently, running in bad condition. In order to detect the dynamic lifted load of the port crane, self-adaptive filter is developed, based on the identification of dynamic model. The self- adaptive filter can eliminate efficiently the signal of acceleration interference when the crane starts or brakes, and the signals of momentum impact interference. The off-line pre-estimating algorithm for model parameters is founded, and the on-line detecting speed is raised. When the crane is in the zero-speed, zero-load, the self zero-tracking will act, and zero drift of the detecting system can be corrected. The applying results show that the new technique has raised the accuracy of detecting lifted load.

Key words: Lifted load, Detection, Dynamic model, Identification, Self-adaptive

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