【摘要】：電動靜液作動器具有功率密度高,集成度高以及高效節(jié)能等優(yōu)點(diǎn)。為了獲得較為精確的作動器線性數(shù)學(xué)模型,采用了遺傳算法對模型參數(shù)進(jìn)行辨識。在遺傳算法中,將一組模型參數(shù)值視為一個染色體的基因編碼,以實測的系統(tǒng)頻率響應(yīng)數(shù)據(jù)作為評價染色體優(yōu)劣的標(biāo)準(zhǔn),并構(gòu)造相應(yīng)的適應(yīng)度函數(shù)。通過使用基于排序的選擇概率設(shè)定方法,算術(shù)交叉算子以及高斯變異算子,并進(jìn)行迭代運(yùn)算,實現(xiàn)了種群的遺傳進(jìn)化操作與對最優(yōu)解的搜索。最終的辨識結(jié)果證明了遺傳算法辨識作動器模型參數(shù)的有效性。
[Abstract]:Electric hydrostatic actuator has the advantages of high power density, high integration and high efficiency and energy saving. In order to obtain a more accurate linear mathematical model of actuator, genetic algorithm is used to identify the parameters of the model. In genetic algorithm, a set of model parameters is regarded as the gene coding of a chromosome, and the measured system frequency response data is taken as the criterion to evaluate the chromosomes, and the corresponding fitness function is constructed. The selection probability setting method based on sorting, arithmetic crossover operator and Gao Si mutation operator are used to carry out iterative operation to realize the genetic evolution operation of population and the search for the optimal solution. The final identification results demonstrate the effectiveness of genetic algorithm in identifying the parameters of actuator model.
【作者單位】： 北京航空航天大學(xué)機(jī)械工程及自動化學(xué)院;
【分類號】：TH137

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