CAJ | 학술논문

以D17直流电机实测数据为样本，研究了最大似然法进行直流电机参数辨识问题。该文对最大似然辨识迭代算法进行了改进，提出了滑块递推方法，建立了直流电机最大似然辨识模型，对模型参数进行了辨识和分析，最后对辨识算法进行了验证。结果表明，改进的最大似然法可以快速、准确地辨识出直流电机所需的参数，并具有较高的精度，克服了最小二乘法辨识微分方程参数时存在的缺陷，也解决了最大似然法因观测数据静态分组而导致的辨识精度下降问题，为控制系统/部件建模提供了可行的方法。
이D17직류전궤실측수거위양본，연구료최대사연법진행직류전궤삼수변식문제。해문대최대사연변식질대산법진행료개진，제출료활괴체추방법，건립료직류전궤최대사연변식모형，대모형삼수진행료변식화분석，최후대변식산법진행료험증。결과표명，개진적최대사연법가이쾌속、준학지변식출직류전궤소수적삼수，병구유교고적정도，극복료최소이승법변식미분방정삼수시존재적결함，야해결료최대사연법인관측수거정태분조이도치적변식정도하강문제，위공제계통/부건건모제공료가행적방법。
The sample using measured data of D17 DC motor, study DC motor parameter identifica-tion problem using the maximum likelihood method. In this paper, iterative maximum likelihood algo-rithm is improved, slider recursive method is proposed, create a DC motor maximum likelihood identifica-tion model, identify and analyze the model parameters, and analyze the accuracy of the recognition re-sult. The results showed that improved push the maximum likelihood method can quickly and accurately identify the parameters required for DC motor, and has a high accuracy, overcomes the defects of the pa-rameters of differential least square method, also solves the maximum likelihood method the problem of i-dentification precision drop because of observational data packet, provides a feasible method for the con-trol system / component modeling.