壓電作動器非對稱遲滯模型的建立和參數(shù)辨識
發(fā)布時間：2018-12-27 07:45
【摘要】：現(xiàn)有的眾多基于傳統(tǒng)Bouc-Wen改進的壓電陶瓷非對稱遲滯模型存在參數(shù)冗余,降低了模型參數(shù)辨識的準確性,而且常用的粒子群算法(PSO)在辨識壓電陶瓷非對稱遲滯模型參數(shù)方面收斂慢且容易陷入局部最優(yōu)值。為此,首先提出了一種歸一化的非對稱遲滯模型,采用兩個多項式達到非對稱效果,利用歸一化Bouc-Wen消除參數(shù)冗余;然后采用參數(shù)和變異策略自適應的差分進化算法進行遲滯參數(shù)辨識;建立了相應的測試系統(tǒng),對壓電陶瓷作動器進行了實驗研究。結果表明,相比于傳統(tǒng)的Bouc-Wen模型,所提出的模型能更精確地描述壓電陶瓷實際電壓位移曲線,而且消除了參數(shù)的冗余,降低了參數(shù)辨識的難度。相比于粒子群算法和傳統(tǒng)差分進化算法,自適應差分進化算法能更快更精準地找到最優(yōu)參數(shù)值。
[Abstract]:Many existing piezoelectric ceramic asymmetric hysteresis models based on traditional Bouc-Wen have parameter redundancy, which reduces the accuracy of model parameter identification. Moreover, the commonly used particle swarm optimization (PSO) algorithm has slow convergence in identifying the parameters of piezoelectric ceramic asymmetric hysteresis model and is easy to fall into local optimal value. For this reason, a normalized asymmetric hysteresis model is proposed. Two polynomials are used to achieve asymmetric effects, and normalized Bouc-Wen is used to eliminate parameter redundancy. Then the parameter and mutation strategy adaptive differential evolution algorithm is used to identify the hysteresis parameters, and the corresponding testing system is established, and the experimental research on piezoelectric actuator is carried out. The results show that compared with the traditional Bouc-Wen model, the proposed model can more accurately describe the actual voltage displacement curve of piezoelectric ceramics, eliminate the redundancy of parameters, and reduce the difficulty of parameter identification. Compared with particle swarm optimization algorithm and traditional differential evolution algorithm, adaptive differential evolution algorithm can find the optimal parameter more quickly and accurately.
【作者單位】： 南京航空航天大學機電學院;鹽城工學院汽車工程學院;
【基金】：國家自然科學基金(51375230、51405417) 江蘇省科技成果轉化專項(BA2015098) 研究生創(chuàng)新基地(實驗室)開放基金(kfjj20160508)項目資助
【分類號】：TP18
本文編號：2392728
[Abstract]:Many existing piezoelectric ceramic asymmetric hysteresis models based on traditional Bouc-Wen have parameter redundancy, which reduces the accuracy of model parameter identification. Moreover, the commonly used particle swarm optimization (PSO) algorithm has slow convergence in identifying the parameters of piezoelectric ceramic asymmetric hysteresis model and is easy to fall into local optimal value. For this reason, a normalized asymmetric hysteresis model is proposed. Two polynomials are used to achieve asymmetric effects, and normalized Bouc-Wen is used to eliminate parameter redundancy. Then the parameter and mutation strategy adaptive differential evolution algorithm is used to identify the hysteresis parameters, and the corresponding testing system is established, and the experimental research on piezoelectric actuator is carried out. The results show that compared with the traditional Bouc-Wen model, the proposed model can more accurately describe the actual voltage displacement curve of piezoelectric ceramics, eliminate the redundancy of parameters, and reduce the difficulty of parameter identification. Compared with particle swarm optimization algorithm and traditional differential evolution algorithm, adaptive differential evolution algorithm can find the optimal parameter more quickly and accurately.
【作者單位】： 南京航空航天大學機電學院;鹽城工學院汽車工程學院;
【基金】：國家自然科學基金(51375230、51405417) 江蘇省科技成果轉化專項(BA2015098) 研究生創(chuàng)新基地(實驗室)開放基金(kfjj20160508)項目資助
【分類號】：TP18
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