哈尔滨工程大学学报2017,Vol.38Issue(10):1568-1572,1586,6.DOI:10.11990/jheu.201607044
基于梯度算法的电液伺服振动台加速度谐波辨识
Acceleration harmonic identification for an electro-hydraulic servo shaking table based on gradient algorithm
摘要
Abstract
Nonlinearities exist for an electro-hydraulic servo shaking table and may cause acceleration harmonic dis-tortion when a sine acceleration excitation signal is inputted .To suppress harmonic distortion and accurately identify harmonic information , an identification method based on forgetting factor gradient algorithm ( FFGA) was proposed . An input vector was generated by a harmonic generator .The difference between the actual acceleration and the esti-mated acceleration was used to build the criterion function .The FFGA was applied to update the parameter vector . The amplitudes and the phases of harmonics can be calculated by utilizing the parameter vector when the criterion function is minimized .Each harmonic can be directly decomposed from the parameter vector and the input vector . Experimental results show that the proposed harmonic identification method has good real-time performance and convergence performance , as well as high identification precision .关键词
电液伺服振动台/非线性/谐波失真/遗忘因子梯度算法/谐波辨识/准则函数Key words
electro-hydraulic servo shaking table/nonlinearity/harmonic distortion/forgetting factor gradient algo-rithm/harmonic identification/criterion function分类
信息技术与安全科学引用本文复制引用
姚建均,万振帅,牛庆涛,张乐,肖晨光..基于梯度算法的电液伺服振动台加速度谐波辨识[J].哈尔滨工程大学学报,2017,38(10):1568-1572,1586,6.基金项目
国家自然科学基金项目(51375102) (51375102)
黑龙江省自然科学基金项目(QC2014C050) (QC2014C050)
黑龙江省普通高等学校青年学术骨干支持计划项目(1253G020) (1253G020)
留学人员科技活动项目. ()