基于动态模型自适应辨识原理的起重质量检测技术

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

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。

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.