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基于GA-PSO混合算法的鋼桿磁特性參數(shù)識(shí)別方法

發(fā)布時(shí)間:2018-04-01 21:08

  本文選題:磁特性曲線(xiàn) 切入點(diǎn):參數(shù)識(shí)別 出處:《儀器儀表學(xué)報(bào)》2017年04期


【摘要】:測(cè)量軸類(lèi)零件的磁滯回線(xiàn),利用其特征參數(shù)的變化表征零件表面硬度及硬化層深度,是具有工程應(yīng)用前景的電磁無(wú)損檢測(cè)新技術(shù)之一,其關(guān)鍵是軸類(lèi)零件磁特性曲線(xiàn)測(cè)量裝置的研制和磁特性參數(shù)高精度識(shí)別方法的研究。設(shè)計(jì)出一種基于閉環(huán)磁路的鋼桿磁滯回線(xiàn)測(cè)量實(shí)驗(yàn)裝置,并基于J-A磁滯模型,提出了一種遺傳粒子群(GA-PSO)混合算法,實(shí)現(xiàn)了鋼桿磁滯回線(xiàn)全局與局部特征參數(shù)的快速、高精度識(shí)別。實(shí)驗(yàn)測(cè)得的3種不同材質(zhì)鋼桿磁滯回線(xiàn),對(duì)比分析了混合優(yōu)化算法與單一算法(遺傳、粒子群、模擬退火)的參數(shù)識(shí)別速度與精度,結(jié)果表明,混合算法全局識(shí)別結(jié)果的最小均方根誤差僅為0.004 7,低于單一算法的相應(yīng)結(jié)果;混合算法對(duì)局部特征參數(shù)(矯頑力、剩余磁感應(yīng)強(qiáng)度)識(shí)別的相對(duì)誤差均小于0.35%,優(yōu)于單一算法識(shí)別精度。上述實(shí)驗(yàn)測(cè)試和磁特性參數(shù)識(shí)別方法,有望應(yīng)用于銷(xiāo)釘、螺栓等軸類(lèi)構(gòu)件表面硬化層的無(wú)損檢測(cè)。
[Abstract]:Measuring the hysteresis loop of shaft parts and using the change of characteristic parameters to characterize the surface hardness and hardened layer depth of the parts is one of the new electromagnetic nondestructive testing techniques with engineering application prospect.The key is the development of measuring device for magnetic characteristic curve of shaft parts and the research of high precision identification method of magnetic characteristic parameters.An experimental device for measuring hysteresis loop of steel rod based on closed loop magnetic circuit is designed. Based on J-A hysteresis model, a hybrid genetic particle swarm optimization (GA-PSO) algorithm is proposed. The global and local characteristic parameters of the hysteresis loop of steel rod are realized quickly.High precision recognition.The hysteresis loops of three kinds of steel bars with different materials are measured experimentally. The parameter identification speed and accuracy of hybrid optimization algorithm and single algorithm (genetic, particle swarm optimization, simulated annealing) are compared and analyzed. The results show that,The minimum root mean square error of the global recognition result of hybrid algorithm is only 0.004, which is lower than that of single algorithm.The relative error of the residual magnetic induction intensity) is less than 0.35, which is superior to the recognition accuracy of the single algorithm.The above experimental test and magnetic characteristic parameter identification method are expected to be used in nondestructive testing of surface hardening layer of axial components such as pins bolts and so on.
【作者單位】: 北京工業(yè)大學(xué)機(jī)械工程與應(yīng)用電子技術(shù)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(11527801)項(xiàng)目資助
【分類(lèi)號(hào)】:TG115;TP18

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