Identification of DC motor parameters by the method of extended instrumental variables

• Main Authors: Ivanov, D. V., Polteva, E. A., Ivanova, O. S., Mitroshin, D. I., Sandler, I. L.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; D C motors; Digital systems; Electric motors; Equivalence; Errors; Estimates; Least squares method; Mathematical models; Measuring instruments; Parameter estimation; Parameter identification; Parameter sensitivity; Sensitivity
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0103865

The problem of identifying the parameters of the DC motor is considered. The presence of errors in the measurement of currents and voltages leads to errors in both input and output signals. The existing methods for identifying the parameters of the DC motor do not take into account the presence of errors in both the output and input signals. In connection with the development of digital systems, a discrete model of the DC motor is used in the article. One of the advantages of this model is the combining of the problem of estimating parameters to two problems of reduced dimension. Reducing the dimension of the solved problems improves their conditionality and reduces the sensitivity to measurement errors. A new method for identifying the parameters of DC motor models is proposed. Parameter estimates are based on the extended method of instrumental variables. To find estimates, the use of extended equivalent systems of equations is proposed. Extended equivalent systems allow you to reduce the number of conditionality. Numerical experiments have shown the advantage of the proposed algorithm over the least squares method. The results of the work can be applied in the development of predictive diagnostics systems. The application of the proposed method for identifying the parameters of the DC motor also reduces the requirements for measuring devices due to less sensitivity to measurement errors.