Parameter Estimation of a Linear Ultrasonic Motor Using the Least Squares of Orthogonal Distances Algorithm
| Autor: | Luis A. Cantera Cantera, Cristobal Vargas-Jarillo, Luis Luna, Ruben Garrido |
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| Rok vydání: | 2019 |
| Předmět: |
010504 meteorology & atmospheric sciences
Estimation theory Carry (arithmetic) 05 social sciences Tracking (particle physics) 01 natural sciences Least squares Data modeling Ultrasonic motor 0502 economics and business 050207 economics Total least squares Algorithm Position control 0105 earth and related environmental sciences Mathematics |
| Zdroj: | CCE |
| Popis: | This work describes the application of the Least Squares of Orthogonal Distances (LSOD) algorithm for parameter estimation of a model of a Linear Ultrasonic Motor (LUM). The results obtained with this algorithm are compared with the ones obtained through the standard Least Squares (LS) and the Total Least Squares (TLS) algorithms using experimental data. The parameter estimates are used to compute model-based control laws to carry out experimentally regulation and tracking tasks in the LUM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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