首页|重载液压缸动态位移信号的自适应滤波器设计

重载液压缸动态位移信号的自适应滤波器设计

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为了能够在大型减震阻尼器性能测试试验中更好反馈试验台的重载液压缸动态位移变化信息,从而真实模拟大型减震阻尼器所需振动激励信号,进而获得更好的特性参数,对比传统变步长LMS算法,根据试验台重载液压缸实际振动的加载工况,在预期参考信号不可知的情况下,通过小波变换对原始信号进行拟合,并使用MATLAB建立误差与步长之间的非线性函数表达式,提出一种基于小波变换的LMS自适应滤波器,最后通过LabVIEW编写了测控程序进行了试验。试验结果表明,相较于传统变步长LMS算法,基于小波变换的自适应滤波器收敛速度更快、稳态误差更小且跟踪能力更强,在实际应用中,相较于其他类型滤波器具有更好的滤波效果。
Design of Adaptive Filter for Dynamic Displacement Signal of Heavy-Load Hydraulic Cylinder
In order to better feedback the dynamic displacement information of the heavy-load hydraulic cylinder of the test-bed in the performance test of the large-scale damping damper,so as to truly simulate the vibration excitation signal required by the large-scale damping damper,and then to obtain better characteristic parameters,comparing with the traditional variable step size LMS algo-rithm,according to the actual vibration loading condition of the heavy-load hydraulic cylinder of the test-bed,under the condition that the expected reference signal was unknown,the original signal was fitted by wavelet transform,and the nonlinear function expression be-tween error and step size was established by MATLAB,and a LMS adaptive filter based on wavelet transform was proposed.Finally,a measurement and control program was written by Lab VIEW.The experimental results show that,compared with the traditional variable step size LMS algorithm,the adaptive filter based on wavelet transform has faster convergence speed,smaller steady-state error and stronger tracking ability.In practical application,it has better filtering effect than other types of filters.

dynamic displacementwavelet transformationadaptive filteringsteady-state error

丁兆轩、刘凯磊、强红宾、康绍鹏、朱勇、殷鹏龙

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江苏理工学院机械工程学院,江苏常州 213001

国机重工集团常林有限公司,江苏常州 213136

江苏大学流体机械工程技术研究中心,江苏镇江 212013

动态位移 小波变换 自适应滤波 稳态误差

国家自然科学基金资助项目国家自然科学基金资助项目江苏省高等学校自然科学基金项目常州市科技支撑计划(社会发展)常州市领军型创新人才引进培育项目资助

521750525180522822KJB460021CE20209002CQ20210093

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(7)
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