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机构地区:[1]广东工业大学自动化学院,广东广州510006
出 处:《纺织学报》2011年第8期128-132,共5页Journal of Textile Research
基 金:广东省自然科学基金资助项目(06300261);广东工业大学青年基金资助项目(052031)
摘 要:为获得更准确的经纱张力检测信号,提高剑杆织机的控制性能指标,在分析剑杆织机经纱张力控制中噪声源及噪声特性的基础上,提出了经纱张力控制中噪声信号的分类处理原则。针对高频振动噪声和随机噪声,在定义难控度概念的基础上,分析了模拟低通滤波器设计方法。针对周期性低频振动噪声,采用频谱分析定周期和相干平均法定信号的方法,估计周期性振动噪声,并进行补偿设计,提高控制性能。通过MatLab编程及Simulink仿真,验证了分析和设计有效性,并为实际系统滤波器及控制器分析和设计提供了参考。In order to obtain the more exact detected signal of warp tension and improve the control performance of a rapier loom,this paper provided a classified noise signal processing principle based on the analysis of the noise source and characteristics during controlling the warp tension on the rapier loom.For suppressing high-frequency noise and random noise,an simulative low-pass filer′s design method is analyzed based on defining the degree of difficult control.As to the periodical low frequency vibration noise,a frequency spectrum method is utilized to determine the period and a coherent average method is used to catch the noise signal.The periodical low frequency vibration noise is estimated and a compensation design is performed for enhancing the control performance.The effectiveness of the design is verified using MatLab and Simulink simulation.This research work provides a reference for the design of filter and controller on the rapier loom for warp tension control.
分 类 号:TP202[自动化与计算机技术—检测技术与自动化装置]
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